Lead Data Analytics Engineer Jobs

(GAQ327R301) Databricks is shaping the future of data and AI, and building world-class engineering teams requires world-class talent strategy. This role serves as the central driver for compensation intelligence and analytics, empowering faster, highly informed, and consistent organizational decision-making through data-driven insights. Reporting directly to the VP of Total Rewards, this is a strategic builder’s role tailored for an expert operating at the intersection of compensation, advanced analytics, data engineering, and business strategy. Scope of the Role AI & Data Strategy Lead (60%) — Serve as the lead subject matter expert on AI and data strategy within the Compensation function. Collaborate closely with People Intelligence and IT teams to design, architect, test, and deploy automated workflows and AI-driven solutions across core compensation processes. Enterprise Program Analytics (30%) — Lead company-wide compensation analytics, overseeing total compensation budget forecasting and providing the analytical framework supporting major executive program decisions. Market Intelligence & Executive Reporting (10%) — Monitor, evaluate, and report on market dynamics across cash, equity, and total rewards programs through Quarterly Business Reviews (QBRs) and executive summaries. What You'll Bring Analytics Data Fluency & System Architecture — Core competency in transforming complex, unstructured datasets into actionable business insights, predictive tooling, and strategic recommendations. Capability to synthesize numbers into cohesive narratives and build scalable systems designed to anticipate future business needs. Technical & Platform Expertise — Advanced proficiency in Google Sheets and Excel. Strong working knowledge of SQL and hands-on experience with business intelligence platforms (e.g., Databricks) is highly preferred. Proficiency in Python and practical application of AI in compensation analytics are significant advantages. AI Leadershi

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 We are looking for a Director, Marketing Analytics to translate our marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows. Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data. You will build our marketing intelligence system. This will focus on three key areas. First, you will optimize how we allocate capital. You will use solid ROI and incrementality frameworks for this. Second, you will identify growth insights by finding predictive buyer and expansion signals. Finally, you will promote data clarity. This involves ensuring we have a well-governed, transparent single source of truth. Grounded in open, explainable attribution models, you will streamline organization-wide decision-making and help fuel long-term growth across the entire customer lifecycle. What You Will Be Doing Capital Allocation & Attribution: Operationalize open, explainable multi-touch attribution (MTA) and ROI frameworks that measure full-funnel contribution and ensure global budgets are allocated efficiently . Customer Journeys & Predictiv

Opportunity Overview: This is an excellent opportunity for an outstanding Lead Healthcare Analystto join a Series C digital health company. You will work closely with clinicians, program implementation, operation experts, informaticists, data scientists, and actuaries to support data-driven clinical programs. These programs are essential in improving a) payor/provider/patient collaboration, b) quality of care and patient outcomes, and c) healthcare utilization and spending efficiency. The work will be fast-paced and project-based, with evolving needs requiring adaptability, curiosity, and grace under pressure. What you’ll do: Cultivate a deep understanding of Cohere’s clinical content, UM products and clinical programs and use analytics to produce insights to drive program effectiveness and value for internal business partners and clients. Lead clinical analytics projects, collaborating with multi-disciplinary partners, to understand business needs, clinical nuances, formulate plans, build and maintain analytical and reporting solutions. Independently lead in-depth analyses and Identify optimization opportunities by applying statistical data mining, and predictive modeling methods on administrative and clinical health data. Track cost, utilization, and industry trends to inform stakeholders of product performance and provide data-driven insights around opportunities to optimize clinical value for patients, providers and payors. Collaborate with clinical, account management, data science, and engineering partners to refine Cohere’s product features and client support. Foster a collaborative and innovative culture, mentor junior analysts. Maintain meticulous documentation and present findings or recommendations to company leadership and internal stakeholders What you’ll need: Work experience: 7+ years of experience working in a big-data analytics role. 2+ years of hands-on project leadership experience in the healthcare industry. Collaboration: Experience

P-211 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. We are hiring a Staff Software Engineer for the Access Management team at Databricks, based in Bellevue, WA. Access Management owns the access-gating systems at the core of the Databricks platform – the services that decide, for every user, application, and automated workload, what they are permitted to do. You will set technical direction for the Bellevue engineers and partner with our Mountain View technical lead on a team distributed across both sites. What you'll work on : Evolving the platform's core authorization service – the system is on the critical path of every access-control decision. Migrating and consolidating permission-checking across the platform onto a unified authorization model. Building fine-grained access controls: scoped service identities, delegated access, and role-based access control. Network ingress access policy for customer resources. Raising the availability and reliability o

FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

FEQ427R261 Mission We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode. Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective Trusted advisor to technical executives that guide strategic data infrastructure decisions. Lead a team through best prac

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support SPC/FDC/RMS/APC • Support site to site portability • Manage / audit material suppliers to achieve quality, cost and risk management objectives • Support internal and external audits • AI-enabled , machine learning, and advanced data analytics tools to drive process optimization, accelerate problem solving, enhance yield performance, and improve manufacturing decision-making. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligenc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary As an Operations Central Team (OCT) Contamination Control Engineer, you will lead global contamination control initiatives that enable world-class manufacturing performance and support Micron's commitment to quality and reliability. You will develop and implement contamination control strategies, standardize procedures across sites, and drive improvements that reduce risk, improve yield, and support capacity expansion. This role offers the opportunity to influence manufacturing performance across Micron's global network while demonstrating data analytics, automation, and Artificial Intelligence (AI) tools to accelerate problem-solving and improve operational effectiveness. Responsibilities Lead global contamination control strategies and programs to improve manufacturing performance, reduce contamination risks, and achieve world-class quality outcomes. Partner with Manufacturing, QRA, Process Engineering, Equipment Engineering, and other partners to identify, investigate, and resolve contamination-related issues affecting yield, reliability, and product quality. Establish, standardize, and communicate contamination control metrics, indicators, standards, and governance frameworks across global manufacturing sites. Drive contamination control strategies that enable capacity expansion, throughput improvements, and manufacturing efficiency while maintaining quality and reliability standards. Develop and implement contamination prevention and monitoring programs for airborne

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Financial Systems Engineer at Vanta, you will own the end-to-end health and evolution of the tech stack, data, and system integrations across our Procure to Pay and FP&A verticals, and be a technical lead for procurement, planning, and finance data systems. Vanta's Financial Systems function builds, maintains, and supports the tools that Vanta's Finance & Accounting operate on. The team builds scalable, integrated, and high value solutions that enable Finance, Accounting, and RevOps to move quickly without trading away accuracy or auditability. Vanta's Finance Systems team is early, and Procurement and FP&A have historically had little systems representation. That makes this a rare chance to own foundational decisions rather than inherit them. You will be helping implement our first CPM tool, re-architect Zip end-to-end, and help build the finance data layer in Snowflake that everything downstream will run on, with the autonomy to set the standards the team builds on as we scale. What you’ll do as a Senior Financial Systems Engineer at Vanta: Own the architecture, configuration, and operational health of Zip (P2P) including workflows, integrations, customizations, and agentic buildout Serve as the internal lead implementing Vanta's first CPM tool, working with an implementation partner, and owning the product post-launch Partner with Data/Analytics to design the Finance and Accounting data model in Snowflake, translating FP&A and Accounting requirements into data plans and SQL models Architect and maintain integrations between NetSuite and adjacent systems (Salesforce, Stripe, Anrok, Tesorio, Workato

FEQ427R411 Req ID Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and gener ative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help ac celerate Data bricks' growth in the market. The Impact You Will Have You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode Make your customers e xtremely successful with Databricks and provide outsized value to their businesses You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates You will establish relationships across the business to make your customers and team successful You will keep your team of SAs ah ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack You will ensure that you r team is continuously learning and working to provide our customers with the most comprehensive solution s for their needs You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets What We Look For Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players 10+ years of experience in the data space with a technical product (i.e. data warehousing, big da

FEQ327R500 As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges. Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations. The impact you will have: Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects. Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture and a first principles mindset Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts. Promote a solution and value-based selling field-engineering organization. Display an understanding of business needs and revenue potential for accounts in the assigned region. Be a thought leader for Databricks and in the Data and AI ecosystem. What we look for: At least 3 years of second

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agen

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of