data-governance jobs in San Diego

Software engineer developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires building AI-enabled capabilities (information retrieval, NLP extraction, summarization), deploying on Lilly cloud infrastructure, and owning application reliability and lifecycle.…See more Requires 4+ years of software engineering experience with BS/MS in computer science or related field; strong Python or modern server-side language skills, web frameworks (Django, Flask, Rails), front-end development, cloud deployment (AWS preferred), CI/CD, containerization, and familiarity with LLM APIs and agentic patterns are preferred.

Lead the modernization of a supplier management platform by defining product vision, managing the product backlog, and coordinating cross-functional teams across procurement, supply chain, and IT. Own the end-to-end delivery of supplier lifecycle management capabilities including qualification, compliance, risk management, and governance.…See more Drive alignment between business and technical stakeholders, define success metrics and KPIs, and ensure the solution meets enterprise architecture and compliance standards. Requires 7–10 years of experience with at least 3+ years as a Product Owner or equivalent and 5+ years in supply chain or procurement IT solutions.

The Salesforce Architect will lead the design and implementation of Salesforce-based solutions for a Department of Defense client, defining scalable platform architecture, guiding configuration and customization, and ensuring alignment with data governance and security requirements. The role requires 7–10 years of Salesforce experience, deep knowledge of the Salesforce data model, security architecture, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.…See more Responsibilities include translating mission requirements into technical solutions, overseeing enterprise system integrations, conducting technical reviews, and supporting testing and deployment activities. The candidate must be a U.S. citizen able to obtain and maintain a Secret security clearance.

Sr. Staff IT Enterprise Architect will define integration standards and architectural decision frameworks across AppFolio's platforms (MuleSoft, AWS, Workato), promoting API-first and event-driven design.…See more The role partners with engineering teams to advance observability, reliability, and modern integration practices, while advising on AI-enabled capabilities and emerging technologies. Requires 10+ years of software engineering or integration architecture leadership with 8+ years designing enterprise integration solutions, hands-on platform experience, and demonstrated ability to influence across cross-functional teams without direct authority.

Design and review data engineering solution architectures on Databricks and AWS, aligning technical decisions with business goals. Lead enterprise-scale data migration and modernization programs, providing architectural guidance and technical leadership across client and internal teams.…See more Demonstrate hands-on expertise in PySpark, SQL, data warehousing, CI/CD pipelines, and data governance frameworks. Mentor team members and foster a knowledge-sharing culture while driving smooth project execution and transition.

The role seeks a Databricks & AWS Data Engineering Architect to lead enterprise-scale data migration and modernization programs for a banking client. The architect will design and implement data solutions using Databricks, PySpark, SQL, and AWS, with responsibility for CI/CD pipelines, data governance frameworks, and data quality monitoring.…See more Required skills include hands-on expertise in data engineering, data warehousing, and data architecture, along with leadership capabilities to manage stakeholders and drive engineering best practices across the organization.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Senior architect responsible for designing and leading enterprise-scale data platforms on Databricks and AWS, including cloud modernization, data migration, and lakehouse architecture. Requires deep expertise in PySpark, advanced SQL, Delta Lake, and data warehousing patterns, with accountability for technical strategy, solution design, and mentoring engineering teams.…See more Will drive CI/CD practices, data governance frameworks, data quality standards, and technical decision-making across complex data infrastructure initiatives. Expected to engage senior stakeholders, manage client relationships, and champion AI-powered engineering tools for productivity and automation.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

Design and review data engineering solution architectures on AWS and Databricks, aligning technical decisions with business goals and market trends. Lead enterprise-scale data migration and modernization programs, mentoring teams and driving initiatives from proposal through delivery.…See more Provide hands-on expertise in Databricks, PySpark, SQL, and AWS, with strong proficiency in CI/CD pipelines, data governance, and engineering best practices. Engage with clients and internal stakeholders to build productive relationships and ensure successful project execution.

Staff Data Engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics use cases across Intuit. Responsibilities include designing data normalization, lineage, governance, and discoverability systems; collaborating with product and engineering teams on extensible platform design; and enabling analytics and GenAI/ML initiatives.…See more Requires 8+ years in product/web analytics, advanced SQL and big-data technologies (Redshift, Spark, Hive, BigQuery), Python or Java/Scala, and data pipeline orchestration experience. Role includes code reviews, CI/CD process ownership, mentorship, and translating business strategy into data-driven insights.

This role is a Data Engineering Architect responsible for designing and reviewing enterprise-scale data architectures on Databricks and AWS, leading migration and modernization programs, and resolving complex technical challenges during build and deployment phases. The architect will provide strategic insights to development teams and clients, establish data governance frameworks, monitor system performance, and contribute to proposals and RFPs.…See more Required expertise includes hands-on proficiency in Databricks, PySpark, SQL, AWS, CI/CD pipelines, and data architecture best practices, with proven experience in enterprise-scale programs and strong technical leadership and stakeholder management skills.

The HRIS Analyst administers and optimizes the organization's Human Capital Management (HCM) system, managing day-to-day operations including system testing, reporting, compliance, and data integrity. Responsibilities include leading HCM projects and enhancements, designing recurring and ad hoc reports/dashboards, serving as a senior escalation point for complex technical issues, and administering system security and user access controls.…See more The role requires 5+ years of HCM/HRIS system administration and configuration experience with deep knowledge of enterprise platforms (UKG, iCIMS, Kronos, ADP) and core HR/Payroll/Talent/Benefits processes.

Lead commercial data management for a biotech company, overseeing data quality, validation, and governance processes across field and internal reports, analytics systems, and business operations. Design and implement data governance policies, standards, and best practices while managing cross-functional projects in a matrixed environment.…See more Requires 6+ years in pharmaceutical/biotech commercial operations or data management, expert knowledge of commercial biopharma data ecosystems, and proficiency with tools including Excel, Power BI, Tableau, Databricks, SQL, and Python. Ensure compliance with HIPAA and regulatory requirements while mentoring junior team members and communicating data insights to technical and business stakeholders.

Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.…See more Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.

As a Staff Data Engineer on Dexcom's Commercial Data Science & Revenue Operations team, you will design and operate the company's commercial data platform on AWS, building pipelines that ingest from 12+ vendor sources, transform data, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development using Lambda, Glue, CDK, Step Functions, and Redshift, with responsibility for data quality frameworks, alerting systems, warehouse schema design, and governance compliance.…See more The role requires hands-on proficiency in Python, SQL, AWS architectures, and CI/CD practices, along with experience building observability infrastructure and working with healthcare compliance requirements like HIPAA. You will also mentor team members and partner with business stakeholders to translate data capabilities into strategy.

The Senior Program Analyst supports planning, execution, and improvement of cross-functional datacenter initiatives at Qualcomm. Key responsibilities include analyzing datasets to identify operational trends, developing program artifacts (roadmaps, schedules, JIRA tickets, status reports), managing hardware ordering and lab planning across test environments, and tracking deliverables while removing blockers.…See more The role requires proficiency in data analysis tools, Agile/Scrum methodologies, and the ability to translate business needs into clear requirements for technical and business teams.

This contract role involves designing and maintaining clinical data pipelines that ingest, transform, and validate healthcare datasets while ensuring HIPAA compliance and data quality. The engineer will collaborate with clinical and analytics teams to understand data requirements, implement quality checks, manage data lineage for audit purposes, and prepare optimized datasets for reporting and statistical analysis.…See more The position requires 5–10 years of data engineering or clinical data management experience, strong SQL proficiency, expertise in data quality validation, and familiarity with regulated healthcare environments.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.

Design, build, and maintain Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Collaborate with stakeholders and cross-functional teams to integrate data outputs into downstream applications, troubleshoot pipeline issues, and document architecture and processes.

Design and build Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze unstructured datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Troubleshoot pipeline issues, document processes and architecture, and partner with cross-functional teams to integrate data outputs into downstream applications and dashboards.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

This role designs and governs enterprise data architectures across SQL, NoSQL, and cloud platforms for a financial institution. The Data Architect will establish data standards, lead golden-record and SSOT initiatives, architect ETL/ELT pipelines, manage data quality and governance frameworks, and oversee database platform strategy (SQL Server, Azure SQL, Snowflake, MongoDB Atlas, Cosmos DB).…See more The position requires 12+ years of progressive experience, deep cloud data platform expertise, SQL and Python proficiency, and demonstrated leadership guiding engineering teams through enterprise modernization and compliance-driven initiatives.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.