Role: Data Ops Informatica 12380311
Location: Denver, CO Hybrid - Locals only
Citizens & GC
Solicitation: Senior Operations & Data Engineer (Informatica Specialist); Cloud Engineer
Security Clearance: OIT, FTI (IRS Pub 1075), and CJIS (Fingerprint-based)
1. Position Objective
The Office of Information Technology (OIT) 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 OIT, FTI (Federal Tax Information), and CJIS (Criminal Justice Information Services) background checks.
3. Key Responsibilities
Platform Operations & Administration
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
Data Engineering & Transformation
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.
4. Primary Deliverables
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
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