Senior Operations & Data Engineer(Informatica Specialist)Cloud Engineer(Hybrid Onsite)

Job Title:

Senior Operations & Data Engineer (Informatica Specialist); Cloud Engineer (Hybrid Onsite)

Location:

Denver, CO

Duration:

12 months

Pay Rate:

$80/hr on C2C / 1099 all inclusive (OR) $75/hr on W2

Job Description

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.

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.

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.

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

Recruiter Details:

Name : 

Lokesh : Eight three two - Nine nine zero -Two four two six

Sameer : Seven one nine – two three nine – Five five five five