Senior Data Warehouse And Integration Engineer Jobs

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Infrastructure team, you will build data infrastructure, data pipeline and services to allow the teams to make data driven decisions, and ultimately put quality features into the hands of users. We emphasize tools over processes, automation over operation, metrics over anecdotes, iteration over perfection, and proactive over responsive. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Design and implement reliable, scalable and efficient data infrastructure to allow the team to gain insights and make quality data driven decisions Work cross-functionally to build data products that allows other teams to gain insights and ultimately improve Verkada products and Verkada customer experience Design and implement solutions to ensure data qua

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Business Systems Engineering team, you will build or improve tools that are used daily by Go to Market teams. Our goal is to find bottlenecks and friction points, and drive process improvements as well as come up with technical solutions. Our team is the custodian of data that is used by sales, order, finance, support teams. We emphasize automation over operation, metrics over anecdotes, iteration over perfection and being proactive over responsive. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Engineer and maintain platforms and data pipelines that read, mutate and write data at scale. Determine architecture for systems that deal with multiple external vendors as well as internal systems. Collaborate with different GTM teams

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Business Systems Engineering team, you will build or improve tools that are used daily by Go to Market teams. Our goal is to find bottlenecks and friction points, and drive process improvements as well as come up with technical solutions. Our team is the custodian of data that is used by sales, order, finance, support teams. We emphasize automation over operation, metrics over anecdotes, iteration over perfection and being proactive over responsive. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Design and implement technical solutions that will span between AWS, Salesforce and NetSuite Improve systems observability and invest in reliability & correctness of data Develop customer empathy to propose improvements to systems Lead pr

A newly created role to help Databricks create new product categories. As Databricks accelerates its most strategic products, we are investing ahead of the curve in the partner ecosystem that helps our customers adopt them, and we are building a new specialisation function to lead that effort. You will pioneer it across EMEA. Reporting to: Director, Partner Field Engineering (EMEA). As the Senior Product Specialist Partner Solutions Architect, you own how our leading System Integrator partners develop deep, market-leading expertise in Databricks' priority products: OLTP/Postgres (Lakebase): Databricks' fully managed, Postgres-compatible operational (OLTP) database for intelligent applications Product AI (Genie): Databricks' natural-language analytics experience, letting anyone ask questions of governed data conversationally AI Router & Governance (Unity Gateway): Databricks' governed gateway for securely managing, monitoring and routing access to AI and large language model endpoints Migrations & Modernisation: moving legacy data warehouses and platforms onto the Databricks Data Intelligence Platform Turn-key Solutions: Cybersecurity (Lakewatch) and CDP (CustomerLake) with more to come Your mandate is to take our leading partners to the highest tier of Centre-of-Excellence product specialisation on these products, and to turn them into independent, market-leading extensions of the Databricks field. Working hand in hand with our EMEA Product Specialist team, you will carry both the deep technical narrative and the business-value and go-to-market narrative that get these products positioned, adopted and scaled through the partner channel. This is a builder's role: you will design the blueprint for a partner product-specialist function that Databricks scales globally, starting in EMEA. What we are trying to achieve Databricks' priority products are seeing strong momentum across EMEA. Lakebase is one of the fastest-growing additions to our platform, Unity Gatewa

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do We are seeking a highly skilled Senior Associate – OneStream Integrations to join our Data Solutions team. This role is ideal for a hands-on integration consultant who is passionate about designing and delivering enterprise integration solutions centered around OneStream and its integration with ERP, EPM, CRM, HR, data warehouse, and other enterprise systems. The ideal candidate will possess strong expertise in enterprise integration architecture, financial systems, and data movement methodologies. Experience with Oracle EPM/Hyperion is highly valued, while experience with modern integration platforms is beneficial but not mandatory. Enterprise Integration Architecture Lead the design and implementation of enterprise integration solutions centered around OneStream. Architect scalable, secure, and maintainable integrations between OneStream and enterprise applications including Oracle ERP, Oracle EPM, SAP, Workday, Salesforce, NetSuite, data warehouses, and custom applications. Define enterprise integration strategies that align with business and financial transformation initiatives. OneStream Integration Design Design and implement integrations supporting Financial Consolidation, Planning, Budgeting, Forecasting, and Reporting. Develop integration solutions using OneStream integration capabilities including Data Management, Business Rules, Extenders,

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Senior Finance Data Scientist, Existing Business , you will be the architect of the systems that predict Fin's revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals. You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team. The Impact You Will Have Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts. Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger. Architect Finance Data: Des

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. We are hiring a Marketing Technology Lead to own Lyft's B2B marketing technology stack, spanning marketing automation, content and web, lead routing, data enrichment, and attribution. As the senior technical owner of that stack, you will lead solution design, own the architecture and data model that carry a lead from first touch through to a qualified opportunity, and partner with Marketing Operations, Sales Operations, Sales Technology, Privacy, Legal, and Data to translate business needs into durable, scalable systems. This is a hands-on leadership role for someone who knows B2B marketing operations, can build the systems that run them, and is looking for ways to bring AI into how the stack works, not just what it produces. Responsibilities: Serve as the senior technical owner of the B2B marketing technology stack, from solution design through delivery, adoption, and ongoing support. Lead requirements gathering with Marketing Operations, Sales Operations, Sales Technology, and Data partners, and translate them into functional and technical designs. Remain hands-on, configuring and extending the marketing automation platform (HubSpot) across workflows, forms, lead scoring, and custom objects, and building the integrations that connect the stack. Own the marketing technology roadmap and architecture, including the lead and account data model, enrichment and routing logic, and integrations with the CRM, data platform, web, and advertising systems. Own the tracking and instrumentation layer, including tag management, site and campaign tracking, and the data capture behind attribution. Own the lead lifecycle systems, partnering with Sales Operations and Sales Technology on lead identity, deduplication, scoring, routing, MQL and SQL definitions, and funnel stage integrity. Identify where AI can im

Job Summary The Regional Master Data Management (MDM) Manager II is a senior-level individual contributor responsible for the governance, quality, integrity, and strategic management of enterprise master data across regional and global business operations. As a recognized subject matter expert, the Regional Master Data Management (MDM) Manager II provides leadership and oversight for master data governance programs, ensuring data consistency, accuracy, and compliance across enterprise systems, integrations, and analytical platforms. Working closely with business stakeholders, data stewards, IT teams, and global governance organizations, the Regional Master Data Management (MDM) Manager II drives the development and execution of data standards, quality controls, and governance practices that support operational excellence, regulatory compliance, and informed business decision-making. The Regional Master Data Management (MDM) Manager II serves as a key escalation point for complex master data challenges, leads cross-functional initiatives to improve data quality and governance maturity, and supports enterprise transformation efforts through trusted and scalable data management practices. Although the Regional Master Data Management (MDM) Manager II does not have direct people management responsibilities, the role provides leadership through expertise, influence, and collaboration. The Regional Master Data Management (MDM) Manager II independently manages complex initiatives, mentors stakeholders on master data management best practices, and drives alignment between regional business requirements and global data strategies to maximize the value of enterprise master data. Responsibilities Lead the regional execution of global master data governance strategies, policies, standards, and operating procedures across assigned data domains. Partner with global governance teams to defi

Job Summary The Regional Master Data Management (MDM) Manager II is a senior-level individual contributor responsible for the governance, quality, integrity, and strategic management of enterprise master data across regional and global business operations. As a recognized subject matter expert, the Regional Master Data Management (MDM) Manager II provides leadership and oversight for master data governance programs, ensuring data consistency, accuracy, and compliance across enterprise systems, integrations, and analytical platforms. Working closely with business stakeholders, data stewards, IT teams, and global governance organizations, the Regional Master Data Management (MDM) Manager II drives the development and execution of data standards, quality controls, and governance practices that support operational excellence, regulatory compliance, and informed business decision-making. The Regional Master Data Management (MDM) Manager II serves as a key escalation point for complex master data challenges, leads cross-functional initiatives to improve data quality and governance maturity, and supports enterprise transformation efforts through trusted and scalable data management practices. Although the Regional Master Data Management (MDM) Manager II does not have direct people management responsibilities, the role provides leadership through expertise, influence, and collaboration. The Regional Master Data Management (MDM) Manager II independently manages complex initiatives, mentors stakeholders on master data management best practices, and drives alignment between regional business requirements and global data strategies to maximize the value of enterprise master data. Responsibilities Lead the regional execution of global master data governance strategies, policies, standards, and operating procedures across assigned data domains. Partner with global governance teams to defi

Senior Partner Account Manager - EMEA (L5-6) Location: EMEA (London, in office) Experience: 8–12 years Travel: 50%+ Reports To: Director, SI Partnerships Focus: Strategic channel management and geo expansion The Sigma Partnerships team is hiring a Senior Partner Account Manager in our London office to support Sigma's continued growth across EMEA. This role will strategically own a portfolio of System Integrator (SI) Partners and will report to GTM leadership within the partner team. This role will drive the growth and success of Sigma across EMEA and collaborate closely with sales and marketing teams to ensure success. Sigma's SI partner ecosystem is growing rapidly, both globally and in the region, to meet rising demand for professional services around Sigma and the Modern Data Stack. The ideal candidate brings a proven track record managing partners, an established network of partner contacts across the EMEA data space, and comfort operating in a high-growth, fast-paced environment. What you will be doing Partner Management: Design and execute GTM activities for a portfolio of SI partners across EMEA, growing both partner-sourced ACV and services revenue for our partners. Field Alignment: Work directly with the sales team to coordinate co-selling between partners and Sigma throughout sales cycles, and to recommend partners for services engagements at Sigma customers. Relationship Management: Build and maintain strong relationships with SI partner executives and employees through regular communication, joint marketing and sales campaigns, and prompt resolution of partner issues and concerns. In-Market Presence: Represent Sigma at industry events across EMEA to strengthen our brand equity. Partner closely with the Field Marketing team to run events and meet with prospects, customers, and partners to share Sigma’s vision. Required Qualifications 8+ years of partner management experience in enterprise SaaS, or

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect an

Senior Technical Product Manager, Operations and Data Location: Remote, USA About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end to end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms in managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise grade litigation AI. Backed by top tier VCs, we empower enterprise legal departments to move faster, mitigate risk, and push the boundaries of what technology can achieve. About the role Help build and execute the operational technology that powers Syllo’s rapid growth. In this role, you’ll drive engineering execution inside Company Operations, connecting business needs with technical delivery. You will partner with business leads and our Business Systems and Automation Manager to evaluate complex operational challenges, translate validated needs into clear engineering specs, and deploy operational engineering capacity where it yields the highest leverage. You will also work closely with our Senior Data Engineer to ensure our data warehouse schema and downstream financial/GTM reporting systems receive clean, accurate, and structured inputs. When custom software builds are required, you own the sprint prioritization, capacity allocation, and quality checks. We are looking for a product manager who brings strong technical acumen, clear prioritization skills, and a flexible, hands-on mindset. As our team expands, this role offers space to grow and evolve into broader leadership opportunities. What you will do Execute the technical roadmap: Define, sequence, and manage the engineering build queue for Company

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines. Design and implement the technical architecture for offline and real-time data application services, and optimi

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec