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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement data pipelines delivering high-quality data under SLA for business insights across Sales, Customer Success, Marketing, and Finance.
Collaborate cross-functionally with business domain experts and analytics teams to build and scale data warehouse models aligned with business strategy.
Own data governance aspects including security, privacy, quality, retention, and documentation of data pipelines and lineage.
Minimum Requirements
8+ years experience in data management roles including data integration, modeling, and pipeline engineering.
4+ years collaborating in cross-functional teams with stakeholders in Sales or Finance on data management and analytics initiatives.
Experience with Sales, Finance, and product usage data; proficient in dimensional modeling, data warehouse scaling/optimization techniques, and ETL pipelines.
Work Experience Required: 8+ years; No explicit notice period requirement stated.
Ideal Candidate Profile
Experienced in operating at the intersection of technical data engineering and business domains like Sales and Finance, capable of navigating trade-offs between big-picture strategy and technical implementation.
Demonstrated ability to build scalable data infrastructure and champion data governance, ensuring data quality and policy alignment.
Proficient in a diverse data technology stack including SQL, NoSQL, MPP databases, and familiar with tools like Airflow, Snowflake, Redshift, Hadoop, Hive, Spark, and programming languages like Python.