Job Details

Senior Operations & Data Engineer (Informatica Specialist); Cloud Engineer
Location : Denver, Colorado - Hybrid
Shift : 8 AM - 5 PM
Security Clearance: Client, FTI (IRS Pub 1075), and CJIS (Fingerprint-based)

1. Position Objective

The Office of Information Technology (Client) is seeking a highly specialized Senior Operations and Data Engineer to serve as the primary administrator and technical lead for our Informatica ecosystem. This role is a hybrid of platform operations and high-level data engineering, ensuring that sensitive state and federal data is managed within a secure, high-uptime, and cost-effective environment.

2. Preferred Qualifications

To be considered for this role, candidates should provide proof of the following:

• Active Informatica Certification: (e.g., Informatica Certified Professional in Cloud Data Integration)
• Background Clearance Readiness: Absolute eligibility to pass Client, FTI (Federal Tax Information), and CJIS (Criminal Justice Information Services) background checks.

• Informatica Mastery: Act as the lead administrator for Informatica environments; manage platform uptime, vendor escalations, and patch/versioning communications.
• Environment Provisioning: Configure Informatica, including complex RBAC (Role-Based Access Control) and security permissions.
• Governance & CI/CD: Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader implementation team.
• Financial Stewardship: Configure cost-management features such as Informatica resource monitors, budgets, and consumption tracking; consult on chargeback models.
• Support business processes of data governance and management

• Pipeline Architecture and Metadata Ingestion: Develop robust ETL/ELT pipelines to ingest data from transactional systems (Line of Business) into the analytical Snowflake environment or to ingest metadata and data from Secure Agents into Informatica
• Data Lineage Management:Configure and manage data lineage maps
• Data Quality Profile Management: Design and deploy automated data cleansing and quality-check policies and processes.
• Performance Engineering: Optimize data flows for specific latency and frequency requirements while maintaining credit efficiency.

• Architectural Contributions: Design reviews, Architectural Plans, and Scope Documents.
• Deployment Assets: New account/environment deployments, security schemas, and permission assignments.
• Engineering Assets: Comprehensive ETL Pipeline Design Documents, Mapping Documents, and production-ready Pipelines, data quality profile scores
• Product Backlog & Support Ticket Management; performance reports
• Weekly Status Reports