Anblicks - Lead Data Engineer - Snowflake Migration

Job Title : Lead Data Engineer Snowflake Migration

Location : Hyderabad / Ahmedabad

Experience : 7+ Years

Be a Trailblazer in Our Data Modernization Center of Excellence (COE)

At Anblicks, we are on a mission to modernize legacy data ecosystems and help enterprises unlock the power of the cloud. Our Data Modernization COE is at the forefront of this transformation reimagining traditional data platforms using Snowflake, cloud-native tools, and intelligent automation.

Were looking for a Lead Data Engineer (Snowflake Migration) with strong technical expertise and a passion for solving legacy challenges at scale. In this role, you will lead complex data warehouse and ETL migrations, work with cutting-edge technologies, and play a pivotal role in building reusable IP and frameworks that will shape the future of enterprise data engineering.

Key Responsibilities :

Lead Data Platform Modernization :

- Own and drive the migration of legacy data warehouses such as Teradata, Netezza, Oracle, or SQL Server to Snowflake.

- Re-engineer and modernize ETL pipelines built using Talend, Informatica, or other legacy tools.

- Rebuild pipelines using cloud-native tools and modern frameworks like DBT, Snowflake Tasks, Streams, and Snowpark.

Architect Scalable, Cloud-Native Solutions :

- Design robust ELT pipelines that ensure high performance, scalability, and cost optimization on Snowflake.

- Integrate Snowflake with AWS, Azure, or GCP and leverage orchestration tools like Airflow, Cloud Functions, or native Snowflake schedulers.

- Apply best practices around data modeling, partitioning, materialized views, and incremental processing.

Enable Governance, Security & Automation :

- Implement secure and compliant architectures with RBAC, masking policies, Unity Catalog, and SSO.

- Automate repeatable tasks including metadata extraction, code conversion, validation scripts, and migration workflows.

- Ensure data quality and parity between source and target systems using test automation frameworks.

Collaborate, Communicate & Mentor :

- Work closely with client stakeholders, architects, and delivery teams to define migration strategies, timelines, and risk mitigation plans.

- Present solutions and roadmaps to both technical and business leaders.

- Contribute to COE knowledge assets, playbooks, and accelerators.

- Mentor junior engineers and promote adoption of best practices across projects.

Required Skills & Experience :

- 6+ years of experience in Data Engineering or Data Warehousing.

- 3+ years of strong hands-on experience in Snowflake design and development.

- Proven expertise in migrating ETL pipelines from Talend and/or Informatica to cloud-native alternatives.

- Excellent command of SQL, data modeling, ELT design, and pipeline performance tuning.

- Hands-on experience with tools such as DBT Cloud, Airflow, Snowflake Tasks, or equivalent orchestrators.

- Solid understanding of cloud data architecture, security frameworks, and data governance.

Preferred Qualifications :

- Snowflake certifications : SnowPro Core and/or SnowPro Advanced Architect.

- Experience with custom migration tools, metadata-driven pipelines, or LLM-based code conversion.

- Familiarity with domain-specific architectures in Retail, Healthcare, or Manufacturing.

- Prior experience in a COE or modernization-focused consulting environment.

What Youll Gain :

- Opportunity to lead and shape enterprise-wide data modernization programs.

- Exposure to complex real-world challenges and next-gen technologies.

- Work alongside certified Snowflake architects, cloud engineers, and innovation teams.

- Build reusable IP that scales across clients and industries.

- Accelerated career growth in a fast-evolving Data & AI landscape.