As a
Senior/Lead Data Engineer, you will lead the design, development, and ownership
of core data infrastructure—from pipelines to storage to data products. You’ll
be a strategic partner across teams, ensuring that our data systems are robust,
scalable, and optimized for performance. With executive visibility and deep
cross-functional collaboration, the solutions you build will directly influence
product strategy and operational excellence.
This is a
unique opportunity to build from the ground up while working with cutting-edge
technologies such as Postgres SQL, dbt, Snowflake, and modern orchestration
frameworks.
Key
Responsibilities:
·Architect, design, and implement scalable ELT
pipelines using Snowflake, dbt, and Postgres.
·Optimize data models in both Snowflake (cloud
DW) and Postgres (transactional/operational data).
oAdvanced knowledge of Snowflake (data modeling,
performance tuning, governance).
·Programming: Proficient in SQL and
Python, including API integrations and automation.
·Orchestration & ETL: Hands-on with
Airflow, Dagster, Prefect (or similar), and ETL/ELT tools like Fivetran, Nifi.
·Data Architecture: Strong understanding
of data warehousing, dimensional modeling, medallion architecture, and system
design principles.
·Cloud: Experience with AWS (mandatory);
GCP or Azure is a plus.
·DevOps: Experience with Git/GitOps CI/CD
pipelines for data workflows.
·Leadership: Proven ability to mentor
teams, collaborate cross-functionally, and deliver impact in fast-paced
environments.
·Communication: Excellent written and
verbal communication skills.
Information
Locations Position Open to Only localsIndustry Information TechnologyStatus OpenJob Age 31 Day'sCreated Date 10/29/2025No.of Positions 1Duration 12Zip Code