Data Tech Team Lead - Dallas, TX onsite

Vailexa•Dallas, TX

7d•Onsite

About The Position

At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders. We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.

Requirements

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 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.

Responsibilities

Architect, implement, and maintain scalable data lakes, lakehouses, 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 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.