> Markdown version of [/jobs/ext/4093601-gcp-senior-data-lead](https://www.wearedevelopers.com/jobs/ext/4093601-gcp-senior-data-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Senior Data Lead - **Company:** HCLTech - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Big Data, Code Review, Data Integrity, Extract Transform Load (ETL), Database Design, Database Queries, Data Flow Control, Python (Programming Language), SQL Databases, Data Processing, Google Bigquery, Data Management, Data Pipelines - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=664e7084fbd2f309 ## About the Role 1. Proficient in google bigquery with hands-on experience in handling large datasets and optimizing queries. 2. Strong expertise in sql for data querying and manipulation. 3. Advanced skills in python programming for data processing and analysis. 4. Experience with google dataflow for designing and executing data pipelines. 5. Proficiency in ca erwin data modeler for data modeling and database design. 6. Strong analytical and problem-solving skills. 7. Excellent communication and leadership abilities to effectively lead technical teams. ## Description The Senior Technical Lead is responsible for overseeing and leading technical projects involving Google BigQuery, SQL, Python, Google dataflow, and CA Erwin Data Modeler. The role involves driving the technical design, development, and implementation of solutions to meet business objectives efficiently., 1. Lead and manage technical projects related to google bigquery, sql, python, google dataflow, and ca erwin data modeler. 2. Collaborate with cross functional teams to gather requirements and design technical solutions. 3. Develop and implement data models, etl processes, and data pipelines using google bigquery, sql, python, and google dataflow. 4. Ensure data integrity, quality, and security in all technical solutions. 5. Provide technical guidance and mentorship to team members. 6. Conduct code reviews, performance optimizations, and troubleshooting as needed. 7. Stay updated on industry trends and best practices related to data management and analytics.