Data Governance Specialist Jobs

Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases. The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption. A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design. Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder. The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions Responsibilities Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption. Partner with busi

The Data Architect plays a critical role in designing and building foundational data platforms that enable customers to move, organize, and analyze their business data at scale. In this position, you will partner with client team members to architect, implement, and deploy data warehouse solutions across multiple cloud platforms and customer organizations. This position requires deep expertise in medallion layer design, ELT implementation, semantic layer architecture and BI tool integration. You should be able to lead architecture discussions, guide technical execution, and mentor junior engineers. As a senior technical contributor, you will take ownership of complex data warehouse solutions, conduct technical discovery with customers, and ensure scalable, maintainable data architectures. You will act as a trusted technical advisor to both internal teams and customer stakeholders while driving best practices in data design, pipeline development, semantic layer modelling, and BI implementation. Responsibilities Design medallion layer data warehouse schemas (bronze, silver, gold) on Databricks, Redshift, Snowflake and/or BigQuery. Select and implement ELT tools to move data from source systems into the warehouse. You'll evaluate options, configure pipelines, and troubleshoot performance issues. Build and optimize semantic layers on top of the warehouse so analysts and business users can query data without writing SQL. Connect data warehouses to BI platforms (Tableau, Looker, Power BI, or similar) to enable self-service analytics and reporting. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Advise on data governance, quality checks, and cos

ABOUT THE ROLE Natera is seeking a product engineering leader to build and lead the team that designs, delivers, and operates domain data products and AI-enabled analytical solutions on NDP (Natera Data Platform). You will report to the Head of Data & AI and partner with platform, governance, and product functions to turn data needs into certified, production-grade data and analytics products. Natera follows a data mesh architecture with headless data products: domain-owned assets, not tied to any BI layer, built for both human and AI consumption . A data product is ready when it is semantically correct and AI-ready, not just numerically accurate. Your mandate is to make that standard repeatable across every domain while transforming how the team works: AI-native, 3–5x more productive, and self-service for the business. Please note that this is role focuses on product side of data engineering (not platform). This person needs to demonstrate their ability to (a) Build a self-service analytics product experience for business users and (b) Create a catalog of AI ready gold-standard cross functional data products (c) Create an operating model focusing on reusability, speed. and business value of data that scale beyond one business domain. Critical Priorities for This Role Standardize and scale how data products are built — one publishing standard, golden paths, and a common operating model across every domain. Make the team AI-native — agentic SDLC and AI-assisted development become how everyone works resulting in higher productivity and growth opportunities Deliver a 3–5x productivity gain — instrumented with baselines and delivery KPIs, not anecdotes. Raise data product quality — semantically correct, AI-ready, observable, ship-ready data products. Make analytics self-service — certified, discoverable products that business users and AI systems consume without an engineering queue. RESPONSIBILITIES 1. Own Data Produ

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What You Will Do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and stor

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. What you'll do: Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization Required Skills and Experience: Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms Hands-on experience writing SQL for data analysis and working with relational database concepts Familiarity with cloud platforms (AWS, GCP, o

Zoox is seeking a high-agency, hands-on Lead Data Platform Engineer to architect, optimize, scale and own the next generation of our enterprise & AI data foundation. In this role, you will architect a high throughput, data fabric that unifies data across Zoox and downstream AI agents. You will drive performance tuning, cost optimization, RBAC, data governance and CI/CD pipelines to deliver secure, low-latency, 'AI-ready' data foundations across the organization. You will serve as the primary technical driver for our data platform, designing autonomous frameworks, building scalable data infrastructure and establishing strict standards for security and developer velocity. This is an engineering-intensive leadership role for a builder who thrives on solving complex challenges. In This Role, You Will... Scaling self-healing data pipelines that automatically handle schema evolution, detect anomalies, execute circuit breakers and recover from failures without manual intervention. Define and enforce company-wide data governance, access, automated data quality testing, schema evolution policies and metadata management to maintain high-fidelity data assets. Implement intelligent storage lifecycle strategies, resource throttling and query optimization to minimize compute overhead while delivering high-throughput, low-latency data access for analytics and AI agents. With a focus on Databricks vs EMR (AWS) cloud optimization (cost and performance). Build automated CI/CD deployment templates, environment isolation, testing frameworks and version control standards, enabling rapid, reliable and zero-downtime deployments Qualifications 10+ years of hands-on experience in Data Platform Engineering or Software Engineering with a proven track record of architecting and scaling production-grade data foundations. Deep expertise in scaling and optimization, query tuning, compute resource allocation and impl

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Engineer - Payments At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You'll also work in creating and maintaining robust reporting solutions that provide concise, reliable, and trustworthy intelligence to our customers. What you’ll do Collaborative Solution Development : Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions. State-of-the-Art Pipelines and Architecture : Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures. Champion Data Best Practices : Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing. High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous te

Principal data strategists at Thoughtworks are experienced consultants who work with clients to create winning data solutions that meet business goals. They play a pivotal role in developing modern data architecture approaches that directly address our clients' key business objectives. Their responsibilities span in-depth reviews of current data and technology strategy, targeted data strategy, guiding clients to unlock the full potential of data, and providing high-level roadmaps. This role entails a mix of advisory responsibilities in data strategy and governance, coupled with a solid delivery-lead role and a breadth of data and AI ecosystem expertise. This is a client-facing, builder's leadership role. You will start with a small, senior team and grow it through technical depth, delivery excellence and thought leadership, rather than inheriting a large organisation to manage. The role is based in Germany and requires regular travel to client sites, up to approximately 50% of your time. Job responsibilities You will collaborate closely with clients to understand their business ecosystem and goals, and co-create data and technology strategies aligned with their objectives. You will help define a clear vision for the client enterprise to become data-driven and aligned with the overall business strategy. You will consult on complex data programs, providing technical leadership and guidance as a data subject-matter expert. You will lead and interact with clients across various domains, addressing challenging problems, and collaborate with sales to turn them into viable solutions and winning proposals. You will act as a translator between business, data and IT, and communicate data strategy to senior client stakeholders, including C-level. You will own the creation of end-to-end viable data solutions, keeping in mind long-term impacts and overseeing program inceptions for new product development. You will be responsible for formulating data governance strategies address

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Data Steward to support and accelerate the productivity of our Sales organization. You will manage the governance and quality of data in Smartsheet's source CRM system that supports the daily operations of our Sales organization. You will maintain data assets and establish relevant processes with the ultimate goal of making it easier for our Sales reps to find and understand the data they need. You will support our Sales analyst team scrubbing data and researching inconsistencies in reporting. This role reports to a Sr. Manager, Variable Compensation based in the US. This role is eligible for remote work within Costa Rica. You must reside in Costa Rica. You Will: Lead changes and revisions to master data, metadata, and data hierarchies and affiliations within given guidelines Ensure that the Sales organization is operating off a single source of truth that can be reliably queried and accessed Perform initial data quality checks on extracted data Provide recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines Other job duties as assigned. You Have: Bachelor's

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Partner with our infrastructure engineering team to ensure high availability of all key data assets Build and scale our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience working in a data eng

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Scale our terraform deployment across all of our Snowflake assets Continue to advance our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience wor

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

Shape the Future of Data. Design Products That Matter. Join Capco's growing Data & Analytics practice and help some of the world's leading financial institutions unlock the value of their data. We're looking for experienced consultants with expertise across data architecture, data modelling, data products and enterprise data solutions. Whether your passion lies in defining strategic data capabilities, designing modern platforms, or delivering business-focused data products, you'll have the opportunity to solve complex challenges while helping clients transform the way they use data. The Role As a Senior Data Consultant, you'll work alongside multidisciplinary teams to design and deliver modern data capabilities that enable better business decisions. You'll combine technical expertise with consulting skills to help clients define target architectures, create scalable data solutions and establish data products that generate measurable business value. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You'll Do Design and deliver enterprise data architectures, logical and physical data models, and scalable data solutions aligned to business strategy. Partner with business and technology stakeholders to define and implement high-value data products and data-driven capabilities. Lead or contribute to data transformation initiatives, including cloud migration, modern data platforms and data governance. Translate complex business challenges into practical, sustainable data solutions using industry best practices. Mentor colleagues, contribute to capability development and help shape the growth of Capco's Data & Analytics practice. What We're Looking For Experience delivering data architecture, data model

Job Title: Data modeler About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Number of Positions: 1 Job Location: Pune, Hyderabad, Bangalore Strong Data Modeling experience of 8-12 years. Strong financial domain experience. Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sen

Job Title: Data Quality - BCBS239 - Remediation Experience: 8–14 Years Location: Bangalore / Chennai Role Overview Capco is seeking experienced Data Quality (DQ) consultants to support a key client engagement focused on Data Quality transformation and regulatory compliance. The role involves delivering Data Quality Remediation & Transformation Plan (RTP) actions aligned to BCBS239 compliance and implementing DQ Management Standard 2.0. Key Responsibilities Implement and support Data Quality Management (DQM) framework across business and technology domains Perform data profiling, data validation, and data reconciliation across multiple banking datasets Identify data quality issues (completeness, accuracy, consistency, timeliness, validity) and escalate to stakeholders Support IMR (Issue Management & Remediation) by tracking, monitoring, and closing data issues Conduct root cause analysis (RCA) for recurring data quality problems Define and monitor Data Quality rules, metrics, and KPIs (DQI – Data Quality Index) Develop and maintain DQ dashboards and reports for management reporting Work with Data Stewards and Data Owners to define business rules and metadata definitions Support regulatory reporting (BCBS 239 / Risk / Finance data controls) Collaborate with cross-functional teams (Risk, Finance, Technology, CDO) for issue resolution Ensure adherence to data governance standards and enterprise data policies Required Skills & Experience 8-10 years of experience in Data Quality / Data Governance / IMR / Data Management Strong knowledge of banking domain (Risk, Finance, Regulatory Reporting preferred) Hands-on experience in SQL for data analysis and validation Experience in data profiling, data cleansing, and data reconciliation Understanding of data quality dimensions (accuracy, completeness, consistency, timeliness) Experience in issue management (IMR / Jira / ServiceNow or similar tools) Strong RCA (Root Cause Analysis) and analytica