Data Architecture And Governance Consultant Jobs

The Role Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to understand how data moves across complex technology landscapes and design robust, scalable architectures that connect systems, platforms, and data sources effectively. This is a hands-on architecture role for someone who understands data end to end – from source and ingestion through integration, transformation, storage, governance, and consumption. You’ll collaborate with technology, data, business, and engineering teams to turn complex requirements into practical data architectures that support both immediate delivery and long-term strategic goals. What You’ll Do Design end-to-end data architectures covering data sources, flows, integration patterns, storage, transformation, and consumption. Map and assess complex data landscapes, identifying dependencies, integration points, data movement, and opportunities for improvement. Define scalable data integration approaches across platforms, applications, APIs, databases, cloud services, and third-party data sources. Partner with engineering, architecture, business, and data teams to translate requirements into clear and practical architecture designs. Provide architectural guidance throughout delivery, ensuring solutions remain aligned with data standards, governance, security, quality, and broader technology strategy. What We’re Looking For Strong experience as a Data Architect or in a senior data architecture role within complex enterprise environments. Deep understanding of data flows, data integration, data modelling, data sources, data platforms, and the full data lifecycle. Experience designing architectures that bring together multiple systems, applications, databases, APIs, and internal and external data sources. Strong understanding of modern data architecture principles, including cloud-based data platforms, data govern

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a data-driven and collaborative Lead Digital Technology & Marketing Analytics professional to help transform data into actionable business insights across digital, marketing, operations, and enterprise functions. In this role, you’ll work closely with stakeholders across digital marketing, customer service, operations, engineering, R&D, and IT to support the integration, management, and analysis of data from a variety of sources. You will be responsible for developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions that enable business users to make informed decisions and support strategic initiatives. Partnering with centralized data and technology teams, you’ll help define data architecture, manage data pipelines, validate datasets, develop data models, and support data governance best practices across the organization. As a key member of the analytics function, you will drive adoption of analytics tools through user training and enablement, collaborate on prioritizing business requests, and contribute to test-and-learn initiatives including A/B testing and incremental analysis. Your ability to identify trends, uncover opportunities, and communicate insights clearly will play a critical role in advancing data-driven decision making across the business. What You Bring · Bachelor’s degree in Data Science, Computer Science, Business, Econo

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a Principal Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data architecture strategy while remaining hands-on in delivering scalable, reliable data products. This role operates at a company-wide scope, shaping long-term data platform direction, governance standards, and scalable architecture patterns that enable analytics, AI/ML, operational systems, and business intelligence. As a strategic individual contributor, the Principal Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure, governed, and positioned as a competitive advantage. This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. Additional travel may be required based on department and company needs. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open. Role Type: Full-Time, Exemp

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

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. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission As Data Director here at Forto, you will be responsible for creating a unified data organisation consisting of Data Science, Data Analytics and Data Engineering. You will dramatically raise the profile of data across the business, partnering with stakeholders in a number of domains to assess and support their data needs. You will own and implement a company wide data strategy, prioritizing competing demands into one cohesive and well understood approach. What you will do Be responsible for the teams (each with their own manager/technical lead) that own the 3 “pillars” of data at Forto: Data Engineering, Data Analytics and Data Science, bringing them into a unified org whilst also encouraging and respecting their specialised skills Ensure that the Data org operates a Centre of Excellence, supporting and educating the “customers” of data across the business. Break down siloes and form strong working relationships with stakeholders. Define and shape a data strategy fit for purpose across our analytical and agentic business needs. Own data governance and quality. Establish the policies, standards, ownership model, and forums that make data trustworthy. Manage day-to-day compliance with GDPR and emerging AI regulation, and set practical guardrails for data and AI use. Sponsor the data platform. Work with engineering and architecture to maintain a reliable, performant, cost-aware platform across ingestion, storage, transformation, BI, and ML. Make build/buy/partner recommendations and manage key vendor relationsh

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We're looking for an outstanding engineer to join our Data Access team within Infra / Storage where we build EaaS (Entities-as-a-Service), Roblox’s large-scale managed OLTP access and management platform powering tens of millions of QPS across thousands of services. EaaS abstracts the complexity of distributed databases and caching systems behind a consistent and productive developer experience, enabling teams across Roblox to safely build and operate stateful systems at massive scale without requiring deep database expertise. The team operates at the intersection of distributed systems engineering, reliability engineering, and platform architecture — solving hard infrastructure problems that directly impact Roblox-wide scale and stability. You Will: Build and evolve EaaS, Roblox’s managed OLTP access platform powering tens of millions of QPS across hundreds of services. Design infrastructure that abstracts distributed databases and caching systems behind a consistent, safe, and highly productive developer experience. Drive reliability and scalability improvements across distributed systems, including adaptive flow control, workload isolation and governance, efficient database usage an

Opportunity Overview: We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement. This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices. What you’ll do: Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation. Support release management, quality testing, version control, and promotion of analytics assets across environments. Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance. Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration. Lead integration of Tableau dashboards into front-end web applications using the Ta

Opportunity Overview: This is a unique opportunity to join a software engineering team that is growing quickly. You will build impactful healthcare technology on a modern stack utilizing your full stack software engineering background. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you’ll do: Lead technical design and architecture for complex features across our business intelligence platform Take full ownership of end-to-end feature releases, platform enhancements, and system optimization initiatives Drive technical decision-making by conducting thorough analysis, evaluating trade-offs, and making data-driven architectural choices Architect and implement highly scalable cloud-based data services, APIs, ETL pipelines, and user interfaces Build mission-critical backend systems supporting analytics, reporting, and complex data query capabilities at scale Design and develop intuitive UI platforms and interactive dashboards for data visualization and business intelligence Champion engineering excellence by establishing and enforcing best practices, design patterns, and coding standards Optimize system performance, identify bottlenecks, and implement solutions for scalability and reliability Define and maintain comprehensive test strategies, ensuring high code quality and test coverage Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security, compliance, and data governance Mentor and coach junior and mid-level engineers, fostering their technical growth and career development Collaborate cross-functionally with product, data science, analytics, and business stakeholders to deliver robust technical solutions ISMS roles and respon

The team + the role Pendo's Data & GTM Intelligence org exists to make the revenue organization faster, smarter, and more effective. We sit at the intersection of data, AI, and GTM execution. We hold ourselves accountable to whether the teams we support are getting measurable, lasting value from our work. This role owns the operational foundation for Pendo's Marketing organization: process design, planning cycles, and strategic partnership with Marketing leadership. You stay close to the business - deeply embedded in the Marketing org, with a point of view on where process, data, or AI could unlock better outcomes. You also serve as the Marketing pod lead, the coordination point for Applied AI, Business Systems, and Data work that touches your function. You operate with significant autonomy. You identify what is broken, design the solution, and bring stakeholders along. The best person for this role has strong customer engineering domain knowledge, sharp analytical instincts, and genuine enthusiasm for rebuilding operations around AI. What this looks like day-to-day Own core Marketing operational work: campaign operations governance, pipeline modeling, and process architecture. Own the MOps process layer: lead processing logic, lead source and source detail hierarchy, audience and nurture processors, demand processing workflows, and campaign naming and governance standards. Design and improve the full campaign-to-pipeline workflow, from lead creation and routing through SLA governance and MQL processing. Partner with Analytics to translate data into clear, actionable recommendations for Marketing leadership. Stay deeply embedded in the Marketing org. Decompose how work actually gets done: map the full activity chain behind a campaign, a content workflow, and identify where process gaps, not tool gaps, are costing pipeline. Define what good looks like for data quality and lead flow, surface issues, and work with Business Systems to fix them upst

RDQ427R463 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems—from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Genie One is building the AI coworker for business users: a trusted, governed way to ask questions of enterprise data, explore insights, and take action in the flow of work. Our team brings that experience to users wherever they are—across the web, mobile, and desktop applications—so a field employee, executive, or knowledge worker can move from question to insight without being constrained by a browser or a desk. As a Staff Software Engineer on the Genie One Mobile & Desktop team, you will define and deliver the technical foundations for this multi-surface experience. You will work at the intersection of Web UI, Mobile, Desktop, shared frontend infrastructure, and enterprise-grade authentication and governance. This is an opportunity to shape a product and an architecture that are still evolving rapidly: deciding what should be shared, what should be platform-specific, and how to keep the whole system coherent as new capabilities arrive. The impact you will have Set the technical direction for Genie One across web, native mobile, and desktop. Lead the delivery of customer-facing experiences on iOS, Android, macOS, and Windows, balancing web feature parity with native capabilities such as notifications, background activity, multi-window workflows, deep links, and local-file interactions. Shape and execute the long-term product and engineering strategy for Genie One Mobile & Desktop. Build reusable cross-surface primitives, contracts, and patterns with shared product capabilities Make the hybrid codebase easier to evolve by improving boundaries between web views, native shells, pl

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is growing quickly. You will play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. Role Overview: We're looking for a Staff Platform Engineer to serve as the technical backbone of our Engineering organization. You'll own the technical strategy, and delivery of our platform — spanning architecture, DevOps, SRE, security, Dev-ex. This is a hands-on staff level role: you'll set technical direction, drive cross-team alignment, and be the senior escalation point for platform challenges. What you’ll do: Drive platform reliability, scalability, security, and cost efficiency across all environments. Technical Leadership: Provide technical leadership for platform components, Influence the technical strategy and architecture of our cloud platform, from CI/CD pipelines to observability and incident response. Design and implement platform components and reusable integration patterns that minimize custom development efforts, reduce the time spent on repetitive tasks, and ensure that integrations scale across multiple healthcare systems Partner closely with Architecture, DevOps, SRE, and Security teams to deliver cohesive platform solutions Cross-Functional Collaboration: Work closely with product teams, and solutions architects to understand integration needs and ensure the platform meets current and future business requirements. Serve as a senior escalation point for infrastructure and platform incidents Establish frameworks for: AI governance and compliance. Observability of systems. Traceability of decisions and outputs. Ensure enterprise readiness with security, auditability, and reliability in production environments. Security & Compliance : Ensure all p

Role Overview As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins. Key Responsibilities Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off. Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows. AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints. Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models. Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance. Client Technical Interface: Serve as the senior technical point of contact for government and enter

Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane : Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane : Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation : Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. Responsibilities Set technical direction for your team and guide architecture decisions across the enterprise platform. Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. Shape roadmaps with product and design, applying strong tec