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Senior Ai Data And Analytics Engineer Jobs

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FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

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1mo ago

FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

REMOTEpythonsqlaws
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1mo ago

FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

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FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

pythonsqlaws
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FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

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Mixpanel
📍 Bengaluru• Full-time• Hybrid
1mo ago

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Customer Value Architect (CVA) team sits inside Mixpanel's Revenue organization and owns the connection between what customers buy and what they actually get out of Mixpanel. You'll work alongside an Account Executive (AE), who owns growth, new business, and expansion; a Renewal Manager (RM), who owns the commercial renewal; and a Delivery Engineer (DE), who owns technical implementation and data health — each with a clear lane, converging on the same outcome for the customer. At this level, you'll also help shape how the wider CVA team operates. About the Role This is not a build role, but real comfort with data is required. As a Senior Customer Value Architect, you are accountable for adoption, value realization, and account health across a portfolio of Mixpanel's existing customers — including the most structurally complex accounts, such as those going through a platform migration, re-implementation, or major workflow change, where the value motion and a genuine cross-functional program have to run in parallel. You own the value case and the adoption evidence that underpins both the Account Executive's expansion motion and the Renewal Manager's renewal, without ever owning pricing or the commercial negotiation yourself. You're also expected to extend your impact beyond your own accounts: mentoring, sharpening team playbooks, and representing the Customer Value Architect function in cross-functional account strategy. Responsibilities • Own the onboarding outcome and time-to-value for your accounts, including the most complex accounts in the book: take the handoff from the Account Exe

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5mo ago

GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute t

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Datadog
📍 United States• Full-time• $192K – $240K/yr
2mo ago

Today, organizations struggle to ensure their most important digital experiences are working as intended because observability data is scattered across products and siloed in logical layers of their technical stack. We're building the system that fixes this: Journey Monitoring, a single centralized hub that brings together Real User Monitoring (RUM), Synthetics, and Product Analytics to bridge the gap between system health and user success. You'd be building a product that establishes a new functional observability layer, enabling teams to auto-discover journeys, track conversions and uptime side-by-side, and trace root causes across their full stack without cross-team handoffs. What you'll do: Drive the product vision and roadmap spanning the Journey Monitoring hub, including the journey map, details reports, automatically inferred journeys, and cross-product data federation. Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers, and other PMs across the Digital Experience Monitoring (DEM) products. Deeply understand the needs of distinct key personas: SREs and engineers (who monitor uptime and troubleshoot technical performance), product managers (who track conversion and investigate behavioral drop-offs), and business leaders (who care about outcomes and revenue impact). Design the functional observability layer that makes end-to-end flow monitoring intuitive — including the auto-discovery of user journeys from real traffic, Experience Level Objectives (XLOs), and seamless Bits AI integrations for automated root-cause investigations. Define how behavioral data and technical data come together to automatically surface whether a drop in conversion is caused by a technical failure (like a breached SLO) or a behavioral friction point. Engage directly with early customers and internal dogfooding users to iterate on usability, refine the journey map, and optimize the cross-sell and up-sell paths for

CSQ427R33 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. As a Senior TPM, you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals. The Impact You Will Have Architecting Standards : You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region. Cross-Functional Synergy : You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity. Strategic Risk Leadership : You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture. Knowledge Multiplication : You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization. What We Look For Experience : 8–12+ years leading large-scale technical programs. Technical Fluency : Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire. AI Strategy : Proven track record of leveraging AI-enabled tools to opti

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Security Specialist Solutions Architect, you will bring deep expertise in SIEM solutions , security technologies, and consultative selling to support customers in securing their data and infrastructure. You will bring to bear your knowledge of vendor ecosystems, security architectures, and operational processes to help customers solve complex challenges, enhance incident response, and build modern, scalable security solutions. Joining Elastic Means joining a company that: Empowers you to make a real impact: Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions. Offers unparalleled growth opportunities: We cultivate a culture of learning and provide access to world-class training programs and innovative technology. Connects you with hardworking individuals: Collaborate with a team with varied strengths of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of security analytics and AI-powered solutions. Rewards you for your contributions: Enjoy a competitive compensation and benefits package that reflects your talent and dedication. Our Mission: To help people understand their data and align with their desired outcomes Our Values: Collaboration, Willingness, Customer Focus, and Innov

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Elastic
📍 The• €110.4K – €174.6K/yr
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Security Specialist Solutions Architect, you will bring deep expertise in SIEM solutions, security technologies, and consultative selling to support customers in securing their data and infrastructure. You will bring to bear your knowledge of vendor ecosystems, security architectures, and operational processes to help customers solve complex challenges, enhance incident response, and build modern, scalable security solutions. Joining Elastic Means Joining a Company That: Empowers you to make a real impact: Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions. Offers unparalleled growth opportunities: We cultivate a culture of learning and provide access to world-class training programs and innovative technology. Connects you with hardworking individuals: Collaborate with a team with varied strengths of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of security analytics and AI-powered solutions. Rewards you for your contributions: Enjoy a competitive compensation and benefits package that reflects your talent and dedication. Learn More: Our Mission: To help people understand their data and align with their desired outcomes Our Values: Collaboration, Willingness, Customer Focus, and Innova

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Databricks
📍 Mountain View• $122.4K – $168.3K/yr
1mo ago

GAQ327R297 Databricks is looking for a Senior Revenue Accountant to join our team. You will report to the Senior Manager of Revenue Accounting and play a hands-on role in the full accounting close cycle for revenue recognition — from executing on non-standard contract terms identified by Revenue Assurance, to performing UATs on new system logic, to preparing financial reporting deliverables for internal and external stakeholders. Our revenue accounting environment is evolving rapidly — new SKUs, new go-to-market motions, shifting policy requirements and system migrations are the norm. We need someone who thrives in ambiguity, adapts when priorities shift and sees change as an opportunity. Our ideal candidate has a builder's mindset: someone who digs into the details, questions why things are done a certain way and proactively identifies opportunities to automate, streamline and scale. The impact you will have: Own the close, end to end. Perform monthly close activities including usage review, journal entry preparation, flux analyses, account reconciliations and analytics — and continuously look for ways to compress the timeline. Apply ASC 606 with precision and judgment. Ensure proper application of ASC 606 to customer contracts, including assessing non-standard terms, documenting accounting conclusions and navigating evolving policy interpretations as our product portfolio grows. Dig into the details. Pull, validate and troubleshoot data yourself — contract details, system outputs and data discrepancies. You are not waiting for someone to hand you a clean dataset. Automate relentlessly. Identify manual, repetitive processes and take ownership of building or championing automation — whether that means writing SQL queries, building scripts, designing workflow improvements or partnering with engineering to implement systematic fixes. Leverage AI to work smarter. Use AI tools and large language models (LLMs) to accelerate routine tasks — drafting memos, analyzing large

sqlaisalesforce
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bunq
📍 Amsterdam• Full-time• Hybrid
8 days ago

At bunq, we're not just building a banking app; we're reshaping how people around the world experience financial freedom. As a (Senior) Product Owner at bunq, you are the driving force behind a core piece of our user's experience. Your mission is to own your product, understand our users (Eva) inside and out, and ship beautiful, effective features that make their lives easy. We have several exciting and immediate openings within our Product sector. Submit your application, and our team will work with you to understand your unique skillset and interests, helping you find the perfect current opportunity that suits your career aspirations. Take ownership As a (Senior) Product Owner, you will own the end-to-end product vision and roadmap for your domain, whatever that may be. You get it done. Own the end-to-end product vision and roadmap for your domain, relentlessly focused on solving user problems and creating massive value. Lead the full product lifecycle, from identifying user needs and defining problems to collaborating with world-class engineers and designers to ship elegant and effective solutions. Relentlessly use data, A/B testing, and user feedback to measure the impact of your work, ensuring every feature we ship moves us closer to our North Star. Proven experience in product management, with a track record of owning a product or significant features from concept to launch and beyond. Experience in either P ayments, AI, Business, Wealth, Stocks, Crypto, Savings, Credit, FinCrime & Security, International Expansion, Growth, UX, Retention, or Propositions is a major plus. A deep, user-obse ssed mindset, with a passion for turning complex problems into simple, elegant, and intuitive user experiences. Strong analytical and data-driven skills. You are comfortable with data, know how to ask the right questions, and can use A/B testing and analytics to guide your product decisions. A strong technical aptitude and the ability to have credible conversations with engin

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Snowflake
📍 Menlo Park• Full-time
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. SENIOR BRAND DESIGNER- MENLO PARK, CALIFORNIA WHO WE ARE At Snowflake, we are powering the era of the agentic enterprise. Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a platform for Data Engineering, Analytics, AI and Apps and Collaboration. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE We’re looking for a well-rounded Senior Brand Designer to join our Brand Design team, reporting into the Sr Manager, Corporate Design. You’ll create across a wide range of brand touchpoints–from events, tradeshows, and keynote presentations to eBooks, global campaigns, and product launches–while supporting the continued evolution of our core brand visual identity and assets. You must be a self-starter with a can-do a

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Target
📍 Bengaluru
25 days ago

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

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