Top Senior Data & Analytics Jobs in Houston, TX

Lead architecture and engineering for secure, scalable data platforms, pipelines, backup, recovery, immutable-data protection, and recovery assurance. Define data models, build AWS cloud-native automation, embed SRE and observability practices, implement security controls, and deliver operational analytics. Lead technical standards, code reviews, mentoring, stakeholder alignment, incident response, and cross-team delivery while ensuring measurable reliability, compliance, and RPO/RTO outcomes across relational and NoSQL systems.

Analyze business challenges and opportunities within Global Payment Network. Develop strategic and tactical recommendations, model products and pricing, evaluate credit risk, conduct market and operational analyses, test hypotheses, assess solution feasibility, and support implementation. Collaborate with Product, Business Development, IT, Sales, Operations, Finance, and management to improve quality, volume, service, and profitability.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

Build and support production data pipelines, Databricks workflows, dimensional models, semantic models, and enterprise integrations using Azure, SQL, Python, and PySpark. Own solutions from requirements through deployment, monitoring, and support. Investigate data discrepancies, improve data quality, modernize legacy systems, and assess downstream impacts on Power BI and business metrics. Partner with stakeholders across healthcare and business functions, mentor technical teammates, and establish engineering standards for testing, CI/CD, documentation, and governance.

Design and maintain Power BI or Tableau dashboards, analyze performance trends across multiple systems, monitor contractual benchmarks, and produce reports for leadership, quality assurance, and compliance teams. Train staff to interpret data visualizations and support data-informed decisions, accuracy, continuous improvement, and improved workforce service delivery.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Design and implement data infrastructure, custom extractors, ETL pipelines, data models, and visualization prototypes for industrial clients. Collaborate with solution architects, subject matter experts, product teams, and stakeholders to deliver reliable data solutions using Python, Spark, SQL, Kafka, REST APIs, and Docker. The role requires experience in oil and gas or manufacturing, client-facing communication, and onsite travel from a hybrid Houston location.

Designs, develops, and optimizes scalable data pipelines, architectures, and cloud-based data solutions using Azure services and Databricks. Translates business requirements into reliable data systems, supports data security, privacy, quality, and governance, and provides technical expertise during incidents. The role oversees testing, drives continuous improvement and engineering standards, participates in infrastructure planning, and mentors less experienced data engineers.

Leads the design, development, and optimization of scalable batch and streaming data pipelines for drilling, equipment, and operational analytics. Builds data models and features supporting reporting, machine learning, AI, predictive maintenance, and drilling optimization. Ensures data quality, testing, monitoring, observability, and CI/CD reliability while providing technical leadership, mentoring, and cross-functional collaboration with engineering, data science, and operations teams.

Lead Workday reporting and analytics for HR: design, build, and maintain advanced Workday reports and integration data sources; manage reporting projects end-to-end; partner with HR COEs and HR Technology; mentor report writers; ensure data quality, governance, and audit readiness; and help extend analytics via Prism or Power BI and adopt AI-assisted capabilities.