Top Data & Analytics Jobs in Houston, TX

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.

Lead, hands-on Hyperion developer to design, develop, maintain, and support Hyperion Financial Management, Planning, and Essbase applications. Translate business requirements into application solutions, collaborate with users and vendors, maintain documentation and change control, support production processing, and drive process improvements.

Support practice groups and firm leadership by collecting, cleaning, integrating, and analyzing data from finance, timekeeping, and billing systems. Build reports, dashboards, and automated workflows (SharePoint, Power BI, Power Automate). Track staffing, utilization, and productivity; identify capacity gaps; coordinate staffing with People Ops, Finance, and Practice Group leaders. Assist system integrations, data QA, and ad hoc analysis to improve operational efficiency and decision-making.

Lead data architecture for the Data Management Program: design data repositories, logical models, BI/ETL solutions, produce architecture artifacts and specifications, support integration, testing, and delivery across the full project lifecycle.

Lead and execute database migration projects and advisory work using strong RDBMS and SQL Server 2016 expertise. Perform migrations with SSMA, MAP, DMA, support database administration, and work with open-source stacks (Elasticsearch, Postgres, JBoss, NoSQL). Provide technology advisory, market/technology trend analysis, and travel extensively in a consulting environment.

The Senior Data Engineer designs and maintains data pipelines and architectures to support enterprise analytics, ensuring data quality and integration across systems.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

Serve as primary Snowflake administrator and data pipeline engineer: manage Snowflake security, performance, multi-account administration; design and maintain ingestion pipelines and curated data layers; enable AI agents and semantic views; activate/test Snowflake previews; document runbooks and train teams.

Design, build, and maintain SQL-based ETL/ELT models in Azure SQL and Power BI semantic models and dashboards. Monitor and troubleshoot data pipelines and dataset refreshes, partner with business stakeholders to translate requirements, document data lineage and metrics, and enforce data-quality and modeling standards.

Provide 24/7 completions data support: enter and QAQC frac and wireline data, build and maintain dashboards, communicate with customers, test staging systems, produce daily reports, identify anomalies, and improve operational procedures.