Lead Snowflake Data Engineer

Lead Snowflake Data Engineer Early Joiners Preferred

Location: Hyderabad / Ahmedabad (Hybrid)

Experience: 8+ Years

Openings: 5

Company: Anblicks Inc. Great Place to Work Certified | Snowflake Elite Partner (3 Years in a Row)

Preferred: Early Joiners / Immediate Joiners (within 1530 days)

About Anblicks

Anblicks is a Great Place to Work Certified cloud data engineering company and a Snowflake Elite Partner for three consecutive years, recognized for consistent delivery excellence and deep expertise in modern data platforms.

We help global enterprises modernize, migrate, and monetize their data by delivering next-generation Data Analytics, Cloud, and Digital Transformation solutions that drive measurable business outcomes.

Role Overview

We are looking for a Lead Snowflake Data Engineer with strong hands-on experience in Snowflake and the modern data stack to design, build, and optimize scalable data platforms. This role is ideal for someone who enjoys end-to-end ownership, works closely with clients and stakeholders, and thrives in a fast-paced consulting environment.

Key Responsibilities

• Lead the design, development, and deployment of scalable, high-performance ETL/ELT data pipelines on the Snowflake Cloud Data Platform.
• Work closely with clients, architects, and cross-functional teams to translate business requirements into data engineering solutions.
• Mentor and guide a team of data engineers, ensuring adherence to best practices, code quality, and delivery timelines.
• Architect data models, schemas, and data warehouses, implementing Snowflakes best practices for scalability and performance.
• Implement and automate data ingestion using Snowpipe, Streams, and Tasks for real-time and batch data processing.
• Perform query performance optimization using clustering, partitioning, and caching strategies.
• Manage security, access controls, and data governance policies in Snowflake environments.
• Orchestrate workflows using Airflow, DBT, or Matillion and integrate with CI/CD pipelines.
• Collaborate with DevOps and analytics teams for deployment, monitoring, and performance optimization.
• Participate in client meetings and technical discussions, presenting solutions and managing stakeholder expectations effectively.

Required Skills & Experience

• 7+ years of experience in Data Engineering, including 4+ years of hands-on experience with Snowflake Cloud Data Platform.
• Proven experience leading teams of data engineers and managing end-to-end data projects.
• Strong proficiency in SQL, Python, and ETL design & optimization.
• Deep understanding of Snowflake components & features:
• SnowSQL, Snowpipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, Query Optimization, Virtual Warehouses, Resource Monitors, Data Sharing, Data Marketplace.
• Experience with AWS (preferred) or other major cloud platforms such as Azure or GCP.
• Solid understanding of data warehousing concepts and semi-structured data formats (JSON, Parquet, Avro).
• Experience working in agile environments and using Git-based version control.
• Excellent communication, leadership, and client engagement skills.
• Strong problem-solving mindset with the ability to drive technical excellence and team collaboration.

Nice to Have

• Snowflake SnowPro Certification (Core / Advanced)
• Experience with real-time or near-real-time pipelines (Kafka, Kinesis, Pub/Sub)
• Exposure to data observability and quality tools (Great Expectations, Monte Carlo, Soda)
• Familiarity with BI tools such as Power BI, Looker, or Tableau
• Experience in consulting or multi-client delivery environments