Senior Technical Lead - Data Engineering

Sr Technical Lead-Data Engg

Area(s) of responsibility

About Us:
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Technical Lead – Data Engineering (Databricks & Snowflake)
Job Summary
Key Responsibilities
•    Lead the design and architecture of scalable, high-performance data solutions on Databricks and Snowflake 
•    Define and enforce best practices for data engineering, including coding standards, performance optimization, and cost management 
•    Oversee the development and maintenance of robust ETL/ELT pipelines ensuring data quality, reliability, and scalability 
•    Collaborate with data architects, product owners, and business stakeholders to translate requirements into technical solutions 
•    Implement and ensure adherence to data governance, security, and compliance standards 
•    Mentor and guide engineering teams through code reviews, design discussions, and technical problem-solving 
•    Monitor system performance, troubleshoot issues, and optimize workloads for efficiency and cost 
•    Drive release planning, deployment strategies, and continuous improvement across data platforms 
•    Identify and resolve technical blockers, ensuring smooth project delivery 
Required Skills & Qualifications
•    7+ years of experience in data engineering or related roles 
•    Strong expertise in Databricks (Spark, Delta Lake) and Snowflake 
•    Proficiency in Python, SQL, and distributed data processing frameworks 
•    Experience designing and implementing ETL/ELT pipelines at scale 
•    Strong understanding of data modeling, data warehousing, and lakehouse architecture 
•    Experience with orchestration tools (Airflow, Azure Data Factory, etc.) 
•    Knowledge of cloud platforms (Azure, AWS, or GCP) 
•    Familiarity with data governance, security, and compliance practices 
•    Excellent problem-solving and leadership skills 
Preferred Qualifications
•    Experience with CI/CD pipelines and DevOps practices 
•    Exposure to real-time data processing and streaming frameworks 
•    Knowledge of cost optimization strategies in cloud data platforms 
•    Prior experience in leading teams or managing technical delivery 

Experience Level

Senior Level