Top Senior Data & Analytics Jobs in Richmond, VA

Develop and maintain Teradata solutions using BTEQ and Informatica. Coordinate work in an onshore/offshore model, communicate with clients, and ensure effective collaboration with offshore teams. Teradata expertise is mandatory.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

Develop and support Informatica ETL solutions (70% development, 30% support). Build error-handling frameworks with schedulers, configure PowerCenter grid, use IDQ and MDM, tune performance, perform data profiling/cleansing, and write Unix scripts and Teradata/SQL queries.

Lead the design and governance of enterprise data architecture, ensuring performance and innovation, while mentoring teams and driving data quality standards.

Lead econometric forecasting efforts, enhancing models, tracking accuracy, and communicating insights to stakeholders. Collaborate with analytics teams to innovate new forecasting methods.

Contract BusinessObjects administrator/developer to review and administer BOE environment, plan and execute upgrade from BOE 4.0 to 4.2, ensure a problem-free upgrade, and train/mentor IT staff in BOE/Crystal Reports best practices. 6-month contract based in Richmond, VA; in-person interview required. Requires strong communication skills and extensive Crystal Reports development experience.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Lead end-to-end migration of document-heavy legacy systems to cloud, converting unstructured records into analytics-ready formats, ensuring data quality and governance. Build and maintain MuleSoft integrations and APIs, apply data transformation (DataWeave), support Salesforce Data 360 implementation, and ensure lineage, metadata, and compliance while collaborating in Agile teams for phased cutovers and audit readiness.

Lead Data Architect provides strategic and hands-on leadership for cloud data initiatives, designing Databricks-first lakehouse architectures in Azure, guiding multiple delivery teams, specifying scalable data solutions, evaluating technologies, and driving ingestion/integration strategies while influencing stakeholders and supporting implementation.