Data Tech Team Lead - Dallas, TX onsite

Responsibilities:

• Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across Google Cloud Platform and OCI.

• Design resilient and low latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.

• Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.

• Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.

• Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.

• Support pipeline orchestration and platform operations for enterprise data environments.

• Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.

• Optimize database, warehouse, and query performance, including approaches such as BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.

• Enforce data governance, access control policies, row and column level security, and cataloging practices to support audits and data discovery.

• Monitor and optimize storage and compute costs associated with large scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.Qualifications:• Eight or more years of experience in data engineering, data warehousing, or software engineering.

• Three or more years of experience leading engineering teams.

• Strong hands on experience with Google Cloud Platform data and analytics services, including BigQuery, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.

• Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.

• Advanced SQL and Python experience for building robust data extraction and transformation logic.

• Experience with CI/CD pipelines, including GitLab CI.

• Experience supporting business intelligence, analytics, or data science use cases.

• Strong communication and collaboration skills with the ability to work across technical and business teams.

Tools and Technologies:

• Google Cloud Platform

• Oracle Cloud Infrastructure

• BigQuery

• Dataproc

• Cloud Functions

• Cloud Storage

• Pub and Sub

• OCI Autonomous Data Warehouse

• OCI GoldenGate

• Oracle Integration Cloud

• Oracle Database Cloud Services

• SQL

• Python

• GitLab CI

• Google Cloud Platform Vertex AI

• Data lakes

• Lakehouses

• Data warehouses

• Data lineage tools and practices

• Data quality and observability practices