Lead Data Engineer Google Cloud Platform & OCI

We are seeking for a highly skilled and experienced Data Tech Team Lead with deep technical expertise in Google Cloud Platform, also known as Google Cloud Platform, 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 Google Cloud Platform 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, 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