ADP
Website:
adp.com
Job details:
Job Title: Lead Analytics DevOps / CI-CD Engineer - Job Code - IND170942
About Us:
ADP's Core Commercial Analytics Engineering Team is dedicated to transforming the way we leverage data and analytics to drive business success. We are committed to building a unified vision of the customer journey by integrating sales and marketing analytics under a single, cohesive strategy. Join us in our mission to enhance data quality, streamline processes, and foster innovation.
Role Overview:
The Lead Analytics DevOps / CI-CD Engineer builds and operates the automated pipelines and quality gates that allow our analytics platform to grow safely and quickly. This role is central to how contributions from our own team and from business unit teams across the organization are tested, reviewed, and promoted into certified production data. As the platform matures and contribution volume grows, this role will own an increasing share of the automated and human review workflow, including managing review during offshore hours. The role reports to the offshore engineering Director for day-to-day management and takes technical direction, standards, and priorities from the Core Commercial Analytics Engineering leadership team in the United States.
Key Technologies in our Stack:
Databricks, dbt, GitHub (Actions, dbt), Bitbucket (Databricks and ingestion jobs), Databricks Asset Bundles, Anomalo, JIRA, Alation
Key Responsibilities:
CI/CD & Automation:
- Build and maintain continuous integration and deployment pipelines for the dbt project and Databricks assets, using dbt Cloud CI, GitHub Actions, and Databricks Asset Bundles.
- Implement automated checks that enforce the team's engineering standards, including linting, project structure, testing, and data contract validation.
- Maintain reliable, auditable production deployments with safe rollback.
Quality Gate Operation:
- Operate the pull-request review workflow, routing issues by severity: automatically rejecting clear violations, requesting changes on minor issues, and escalating ambiguous or high-severity items to onshore leadership.
- Own the operational health of the pipelines and gates you build.
- As contribution volume and deployment frequency increase, own the review workflow during offshore hours within defined guidelines.
Collaboration & Documentation:
- Support business unit teams contributing to the platform by giving clear, standards-based feedback through the review process.
- Document pipeline behavior, gate rules, and operational procedures to support asynchronous work across time zones.
Required Skills and Experience:
- Bachelor's Degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
- 5+ years' experience in data engineering, DevOps, platform engineering, or a closely related field
- Hands-on experience building CI/CD pipelines for data or software projects, using GitHub Actions and/or dbt Cloud CI
- Experience with deployment automation on Databricks, such as Databricks Asset Bundles
- Strong SQL and working knowledge of dbt
- Excellent Git and branching discipline
- Ability to translate written engineering standards into automated checks
- Demonstrated ability to build and operate reliable systems that function without real-time supervision
- Demonstrated fluency using AI tools in day-to-day engineering work, including AI-assisted development and the ability to critically review, validate, and take responsibility for AI-generated output
- Strong communication and collaboration skills across distributed teams
Preferred Qualifications:
- Experience designing AI agents and LLM-assisted workflows, including managing context, prompts, and retrieval (e.g., RAG) to support your own productivity
- Experience with policy-as-code or automated code-review tooling
- Experience operating a review or contribution process across many contributors or teams
- Experience with data contracts and data quality tooling such as Anomalo
- Familiarity with AI-assisted code review
- Prior experience delivering as part of a distributed or offshore engineering team
Why Join Us?:
- Be part of a forward-thinking team that values innovation and collaboration.
- Work with cutting-edge technologies and drive impactful data initiatives.
Click on Apply to know more.
