DevOps Engineer

Job Description:
We are seeking a Data DevOps Platform Engineer to support the stability, consistency, and reliability of our data platforms across multiple environments, including Dev, QA, and Prod across On Prem (SQL Server) and Cloud (GCP) environments. This role sits within the business team and plans a critical part in ensuring that the database structures, data, and deployment process remain aligned as changes are developed and promoted through the environment lifecycle.
The ideal candidate will combine strong SQL and data platform experience with a solid understanding of DevOps principles, including version control, deployment pipelines, and environment management. This individual will act as a bridge between business stakeholders, project managers, and the SQL Devs, helping to standardize processes, reduce risk during releases, and improve the overall efficiency of feature and defect delivery.
This role is responsible for managing environment synchronization, supporting release and deployment activities, identifying and resolving DDL drift, and driving automation across the data lifecycle. The Position also contributes to improving governance, documentation, and repeatability of processes to ensure consistent and reliable outcomes across both on-premises systems and cloud platforms.

Required Qualifications
7-10 years of experience in data engineering, database development, or DevOps-related roles
Strong hands-on experience with SQL Server (writing queries, understanding indexing, and managing schema changes)
Experience working across multiple environments (Dev, QA, Production) with responsibility for code and/or data promotion
Proficiency with version control systems; Github, including branching and merge strategies
Practical experience with deployment processes and/or CI/CD pipelines
Ability to identify and resolve schema drift, data inconsistencies, and environment misalignment issues
Experience writing basic automation scripts in Python
Solid understanding of release management and change control processes
Strong problem-solving skills and ability to work cross-functionally with both technical and business teams
Preferred Qualifications
Experience supporting hybrid environments, including cloud platforms such as Google Cloud Platform
Familiarity with ETL/data pipeline tools (e.g., SSIS or similar)
Exposure to infrastructure or platform concepts (not full ownership)
Experience improving or implementing deployment automation and environment standardization
Background in data warehousing or analytics platforms