Pre-Screen Questions
1. How many years of hands-on experience do you have operating and supporting enterprise data platforms (e.g., Snowflake, Oracle Exadata, Talend, Denodo, Informatica) in production?
2. Which data platforms have you directly owned or supported in production, and what were your responsibilities related to reliability, monitoring, and performance?
3. Describe your experience implementing DataOps practices such as monitoring, alerting, operational dashboards, runbooks, or release support for data platforms.
4. Do you have 5 years of experience writing and optimizing complex SQL and 3 years designing Data Marts using dimensional modeling (facts/dimensions, star or snowflake schemas)?
5. Provide an example of a complex data platform or pipeline issue you resolved and how you partnered with other teams (engineering, architecture, governance, or business users).
Must list on CV the years of experience and last use of the below skills.
Resumes missing this information will be rejected.
Experience: Minimum of 7 years in data platform engineering, data infrastructure, and/or analytics platform operations.
Data Platforms: Proven experience setting up, supporting and operating enterprise data platforms such as:
Data Engineering (e.g.,Talend)
Realtime streaming platforms
Cloud and on prem data warehouses (e.g., Snowflake, Oracle Exadata)
Data virtualization platforms (e.g., Denodo)
Data catalog platforms (e.g., Informatica IDClient)
Data Observability Platforms
ABAC Security Platform
Job Title: Senior Programmer Analyst – DataOps Engineer
Max Supplier Bill Rate: ***/hr
What is the preferred candidate location (local, non-local, remote?) and is there flexibility? Candidate Must be Local and able to drive in
What schedule is the candidate required to work: 5 8 s, hybrid schedule
High Level Project Overview:
Why This Role Exists
We are investing in modern, scalable data platforms including Snowflake, Oracle Exadata, Talend, Denodo, and Informatica IDClient 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.
High-Level 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 IDClient 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
Preferred Interview Process Overview (High level):
Teams – Camera On