Top Senior Data & Analytics Jobs in Baltimore, MD

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Design, build, deploy, and support production data pipelines and enterprise data solutions in Databricks and GCP. Develop data models and layered architectures, ensure data quality, security, and governance, integrate multiple sources, and support analytics, AI/ML, reporting, and operational decision-making while collaborating with technical teams and federal stakeholders.

Plans and implements data management processes for defense programs. Reviews contracts to determine documentation requirements, schedules and tracks contractual data deliverables, coordinates customer requirements, performs quality reviews, reports data status, manages electronic and physical deliveries, archives work products, and flows requirements to subcontractors through SDRLs. The role requires active Secret clearance, SAP eligibility, U.S. citizenship, strong communication and leadership skills, and experience with CDRL processes.

Develops, administers, and supports enterprise data platforms, pipelines, ETL processes, and automation tools. Responsibilities include SQL development, data integration, semantic modeling, performance tuning, troubleshooting, security and governance, user access management, monitoring, testing, documentation, and technical support. The role collaborates with architects, developers, governance teams, and stakeholders; mentors developers; supports roadmap planning; and provides on-call assistance for data platforms and processes.

Lead the architecture and zero-to-one implementation of a governed Databricks enterprise data platform. Define medallion architecture, data models, MDM and golden-record patterns, governance-as-code, integrations, APIs, data quality standards, and secure data-product delivery. Partner with engineering, governance, mission, and client teams, guide implementation, communicate technical direction, and ensure compliance with security and regulatory requirements.

Develops and supports Oracle database solutions, including complex SQL and PL/SQL objects, performance tuning, security, data governance, quality management, and migration initiatives. Performs ETL/ELT, data validation, reconciliation, conversion, and post-migration verification while maintaining metadata, lineage, documentation, and data dictionaries. Collaborates with data owners, developers, DBAs, business users, and project managers. Requires five or more years of Oracle development experience and an active TS/SCI clearance with polygraph.