Data Team Lead Job Dallas area,Texas USA,IT/Tech

Data Tech Team Lead

Seeking a highly skilled and experienced Data Tech Team Lead with deep technical expertise in Google Cloud Platform, also known as GCP, and Oracle Cloud Infrastructure, also known as OCI. In this role, you will serve as the technical lead for a modern data platform team, helping drive the design, development, and operational support of enterprise scale data pipelines, data warehouses, and analytics environments.

The ideal candidate will have a strong software engineering and data engineering background, with experience supporting complex data movement between GCP and OCI, optimizing analytical queries, and enabling downstream Business Intelligence, also known as BI, and Data Science use cases.

Responsibilities:

Architect, implement, and maintain scalable data lakes, lake houses, and data warehousing strategies across GCP 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 Big Query partitioning, Big Query 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 Big Query 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 GCP data and analytics services, including Big Query, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.
Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI Golden Gate, 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 Git Lab 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
Big Query
Dataproc
Cloud Functions
Cloud Storage
Pub and Sub
OCI Autonomous Data Warehouse
OCI Golden Gate
Oracle Integration Cloud
Oracle Database Cloud Services
SQL
Python
Git Lab CI
GCP Vertex AI
Data lakes
Lake houses
Data warehouses
Data lineage tools and practices
Data quality and observability practices