DataOps Engineer

Job Title: Senior Programmer Analyst - DataOps Engineer Location: Richmond, VA (Hybrid 1 week onsite 1 week remote) Contract: 12+ months (High Possibility of extension) Pay Rate: $75.88/hr. on w2 High Level Project Overview: We are investing in modern, scalable data platforms including Snowflake, Oracle Exadata, Talend, Denodo, and Informatica IDMC to deliver reliable, performant, and trusted analytics at enterprise scale. This role exists to own the operational health, performance, and evolution of the data platform, enabling DataOps best practices, accelerating analytics delivery, and ensuring data platforms are production ready, observable, and optimized for both cost and reliability. Key Responsibilities: The Senior Data Platform Engineer will: • Own the day-to-day operation, reliability, and performance of enterprise data platforms. • Partner with architecture and delivery teams to evaluate, implement, and optimize new data platform and capabilities. • Implement and evolve DataOps standards, tooling, and operational processes. • Ensure data platforms are secure, scalable, observable, and production-ready. • Drive platform optimization across performance, cost, resiliency, and user experience. • Support analytics, data science, and reporting teams by enabling smooth data onboarding and issue resolution. • Mentor junior engineers and promote platform engineering best practices. Job Duties: • Monitor and maintain Talend, Snowflake, Exadata, Denodo, and Informatica IDMC platform health. • Implement logging, monitoring, alerting, and operational dashboards. • Troubleshoot complex data pipeline and platform issues. • Optimize queries, workloads, and platform configurations. • Document platform standards, runbooks, and operational procedures. • Support releases, upgrades, and platform enhancements. • Collaborate with security and governance teams on access controls and compliance • Provide technical guidance across multiple concurrent initiatives. Soft Skills / Team Fit: • Ability to partner closely with business technology analysts, data architects, data engineers, data governance analysts, and analytics users. • Strong communication skills to explain platform capabilities, limitations, and tradeoffs to non technical stakeholders. • Comfortable acting as a platform owner and senior technical advisor. • Delivering at Pace: Acts with urgency to meet deadlines while maintaining quality, prioritizing workload effectively under pressure. • Collaborative Teamwork: Actively supports colleagues, shares knowledge freely, and treats others with dignity and respect. • Ownership and Adaptability: Takes responsibility for outcomes and welcomes feedback for improvement. Nice to Have Skills: Experience with: • Infrastructure as code or automation frameworks • Cloud data platform optimization and cost management • Security, access controls, and governance models in data platforms • Familiarity with Power Apps or low code analytics enablement. Preferred Years of Experience: • Experience: Minimum of 7+ years in data platform engineering, data infrastructure, and/or analytics platform operations. • SQL Expertise: Minimum of 5 years of hands-on experience writing complex SQL queries for analytical and reporting workloads. • DataMart Design: Minimum of 3 years designing Data Marts with strong expertise in Dimensional Modeling (facts, dimensions, star/snowflake schemas). Education: • Minimum of High School Diploma or Equivalency