What are the responsibilities and job description for the Senior Programmer Analyst - DataOps Engineer position at Ornate Tech?
Job Description:
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