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Specialized Snowflake lead in Bangalore with seniority and moderate brand results in medium applicant competition.
Snowflake/DBT specialization transfers across industries moderately, but senior leadership and governance requirements increase domain specificity.
Explicit 12–15 years plus mandatory Snowflake/DBT/Fivetran/Python requirements create high shortlisting strictness.
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Design, develop, and lead Snowflake-based data solutions and DBT transformations for scalable data infrastructure.
Lead and manage a small team of 3 data engineers, including task assignment, code reviews, mentoring, and performance management.
Collaborate with project leads and business stakeholders to define architecture, produce high-level documentation, and manage project timelines and delivery plans.
12-15 years overall experience in data engineering, with 6-7 years hands-on expertise in Snowflake and DBT.
Proficiency in Fivetran ELT data ingestion and integrating it with DBT and Snowflake.
Strong skills in SQL and advanced Python programming for data automation.
Experience with CI/CD pipelines (Azure DevOps or equivalent) and familiarity with Infrastructure as Code tools (Terraform, CloudFormation).
Experienced leader capable of managing small teams and mentoring junior developers in complex Snowflake/DBT environments.
Strong expertise in Snowflake architecture including performance tuning and data modeling (OLTP, OLAP, Data Vault 2.0).
Skilled in stakeholder communication, architecture documentation, and coordinating cross-functional teams to meet business goals.