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Job Description
Structured overview of role & requirementsAbout This Role
Own and optimize the data pipeline architecture and data flow for cross-functional teams, ensuring scalable and efficient data delivery.
Lead and mentor onshore and offshore development teams across data engineering projects including ELT processes, data quality measures, and data model design.
Collaborate with software developers, database architects, analysts, and scientists to support data initiatives and maintain consistent, optimal data architecture.
Minimum Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
6+ years delivering consulting services to medium and large enterprises with experience in Data Warehousing or Big Data implementations.
Strong expertise in Snowflake, Data Warehouse architecture, SQL, Python, and at least one ETL/ELT tool (e.g., DBT, Coalesce, Matillion).
Experience with Apache Airflow and API integrations; SnowPro Core certification highly desired.
Ideal Candidate Profile
Experienced in consulting environments serving mid-to-large organizations with complex data warehousing needs including Data Vault Methodology.
Hands-on leader with proven ability to lead onsite and offshore teams and improve internal processes via automation and infrastructure redesign.
Demonstrated strong problem-solving, project management, and communication skills enabling effective cross-functional collaboration and client success.