Lead Data DevOps Engineer (Azure) Remote

Responsibilities

• Design, develop, and maintain data pipelines using Azure Synapse Analytics and other Azure data services
• Implement CI/CD pipelines for data workflows using Azure DevOps, Git, and Terraform/Bicep
• Optimize data ingestion, transformation, and storage for performance and cost efficiency
• Manage ETL/ELT workflows, ensuring data quality and consistency across different environments
• Automate data deployment, monitoring, and alerting using Azure Monitor, Log Analytics, and Application Insights
• Collaborate with Data Engineers, Data Scientists, and DevOps teams to enhance the overall DataOps strategy
• Ensure security best practices, including access control, encryption, and compliance with GDPR, HIPAA, or other regulations
• Troubleshoot and resolve performance bottlenecks in Azure Synapse, Spark Pools, and Data Flows
• Oversee release planning, scheduling, and coordination of data-related deployments
• Implement and manage version control, branching strategies, and rollback procedures
• Ensure smooth code releases across development, testing, and production environments
• Define and enforce release governance, approvals, and compliance standards

Requirements

• 3+ years of experience in DataOps, Data Engineering, or DevOps roles
• At least 1 year of relevant leadership experience
• Strong expertise in Azure Synapse Analytics, Data Lake, and SQL Data Warehousing, Microsoft Fabric
• Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.) for data pipelines
• Experience with monitoring and logging tools in Azure
• Strong problem-solving skills with a continuous improvement mindset
• Excellent written and verbal communication skills in English (B2+ level)

Nice to have

• Proficiency in Azure Data Factory, Databricks, and Power BI
• Strong knowledge of Python, PySpark, SQL, or PowerShell for automation
• Familiarity with Infrastructure as Code (Terraform, Bicep, or ARM templates)
• Understanding of Apache Spark, Delta Lake, and Parquet file formats
• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
• Experience with Kubernetes, Docker, and containerized data workflows
• Knowledge of real-time data processing using Azure Stream Analytics or Kafka

We offer

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more