> Markdown version of [/jobs/ext/4527587-senior-technical-lead](https://www.wearedevelopers.com/jobs/ext/4527587-senior-technical-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). --- # Senior Technical Lead - **Company:** HCL Technologies - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Computing Platforms, Business Systems, Databases, Data Cleansing, Data Conversion, Information Engineering, Extract Transform Load (ETL), Data Migration, Relational Databases, Software Debugging, Systems Analysis, SAP (Applications), Software Requirements Analysis, SQL Databases, SAP S/4HANA - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-technical-lead-san-jose-ca--9816d8b7-864c-4e15-a2c5-e1c916399eba ## About the Role Technical Leadership, Technical Leadership, Business Solutions, Data Analysis, Database Management Software/Systems (DBMS), Data Cleaning, Data Modeling, Systems Analysis, Database Extract Transform and Load (ETL), Data Quality, 5-9.9 years of experience in data conversion, ETL, or data engineering roles. Strong hands on experience with ETL tools (SAP BODS preferred). Proficiency in SQL, data analysis, and relational databases. Experience supporting multiple mock loads and high volume data migrations. Strong problem solving and debugging skills. Prior exposure to SAP S/4HANA or ECC data migration projects. Knowledge of migration best practices and reconciliation techniques. Experience working in agile or hybrid delivery models. ## Description A data conversion analyst safely moves, cleans, and transforms data from old systems into new databases or software platforms. They write mapping rules, test migration runs, and fix data errors to ensure business systems work correctly. Key Responsibilities Analyze source system data models and understand target system requirements. Design and develop ETL jobs, mappings, and transformation logic. Implement data cleansing, filtering, and validation rules. Perform data loads for mock, test, and production cycles. Investigate and resolve load errors and data quality issues. Support reconciliation activities (counts, totals, key field checks). Maintain technical documentation and ETL job inventories. Support cutover execution and post load validation.