Top Senior Data & Analytics Jobs in Washington, DC

Designs and governs enterprise Snowflake architecture, including data models, pipelines, integrations, security, data sharing, performance, and cost optimization. The role establishes technical standards, supports cloud data platform integration with catalog, BI, identity, and workflow tools, and produces architecture documentation and operational guidance. It requires senior technical leadership, collaboration with governance and cybersecurity teams, and the ability to obtain Public Trust clearance.

Supports and enhances an enterprise Palantir Foundry reporting environment for Department of Defense financial management and audit operations. Maintains dashboards, modifies reports, troubleshoots data and refresh issues, validates data quality, onboards data sources, and coordinates with engineering teams. Translates stakeholder requirements into technical updates, tests enhancements, documents data logic and lineage, supports releases, and provides production and end-user support.

Supports FAA implementation efforts by integrating and reconciling complex schedule, inventory, procurement, installation, and operational datasets. Builds repeatable data workflows, validates records, analyzes implementation risks and inventory gaps, prepares schedule updates, and develops dashboards and reports. The role documents data processes, investigates discrepancies, coordinates with schedulers and implementation stakeholders, and communicates progress, risks, and recommendations. Occasional client or company travel is required.

Leads performance measurement, KPI development, reporting, and data-driven decision support for federal programs. Analyzes data from databases, APIs, files, and Amazon S3 using Python and SQL; develops validation methods, dashboards, reports, and analytical narratives. Partners with engineering, product, UX, delivery, and government stakeholders; evaluates generative AI outputs; establishes data quality standards; mentors colleagues; and translates ambiguous client needs into practical recommendations.

Build and maintain dbt data models while migrating workflows from Alteryx, managing Dagster or Airflow pipelines, and supporting Redshift analytics. Partner with RevOps stakeholders to translate data into business insights, dashboards, KPIs, ABM initiatives, and customer health scoring. Explore LLMs, predictive analytics, and SageMaker machine learning for use cases such as churn prediction and lead scoring.

Designs and maintains scalable data pipelines, integration frameworks, databases, APIs, and enterprise data platforms. Develops data models and processing capabilities while ensuring quality, lineage, provenance, governance, security, and lifecycle management. Monitors performance, supports recovery and reconciliation, improves automation and reliability, and documents data standards and implementation guidance. Collaborates with engineering, analytics, and operational teams to deliver trusted data assets.

Leads the design, development, and delivery of dashboards, KPI frameworks, benchmark analyses, and reporting solutions. Integrates data from multiple systems, improves data quality, manages analytical standards, and translates business needs into actionable insights. Collaborates with cross-functional stakeholders, mentors analysts, reviews analytics products, supports program and portfolio reporting, and presents findings to executive and operational audiences.

Lead architecture and build scalable data pipelines and ETL for large datasets, optimize data models and DB structures, ensure data quality and governance, work with cloud platforms (Snowflake/AWS), mentor junior engineers, collaborate with data scientists and product teams, and apply geospatial and big-data technologies to deliver data-driven transportation solutions.

Lead data analytics initiatives supporting federal program performance management and leadership decision-making. Develop advanced analytics solutions, integrate data from SAM, FSMS, and SharePoint, create dashboards and performance metrics, ensure data accuracy and federal compliance, and provide insights to improve operational efficiency. The role requires on-site work in Washington, D.C., prior DHS or DoD experience, and extensive data analytics experience.

Administer, optimize, secure, and troubleshoot enterprise on-premises and cloud database environments. Manage PostgreSQL high availability, backups, recovery, disaster recovery, access controls, auditing, data governance, performance tuning, and production incidents. Develop SQL queries, scripts, reporting logic, and Power BI dashboards. Automate administrative tasks and independently support complex federal enterprise environments while meeting DoD 8140 qualification requirements.