Job Title: Data Engineer Lead Location: San Jose, CA (Onsite) Need Only locals Exp: 10 to 15 Years Max Educational Qualification • Bachelor’s degree in Computer Science, Information Systems, or a related field. Job Description of Role • (RNR)(Mandatory - Minimum 500 words) Overview: We are looking for a skilled Technical Lead to oversee the design and implementation of large-scale data engineering and migration projects. The ideal candidate will have hands-on expertise in Databricks, Azure Data Factory, and related technologies, with a proven track record of leading at least 3 successful data projects. Experience Required: Minimum of 12 years of experience in data engineering and architecture roles.Must have led 3 or more end-to-end enterprise data projects, Databricks, and Azure technologies. Primary (Must have skills) • Primary Skills: Deep knowledge of architecture and complex data models Extensive experience with Databricks, PySpark, Spark SQL, and Delta Lake. Strong command over ETL tools such as Data Services and Azure Data Factory. Proficient in programming languages: Python, Java, or Scala. Hands-on with Azure cloud services including networking and security configurations. Key Responsibilities:1. Lead the design and implementation of ETL solutions using Azure Data Factory.2. Guide and mentor team members on data engineering best practices.3. Develop and maintain complex ETL pipelines using Python, Java, or Scala.4. Ensure high-quality, secure, and performant data migrations using Azure Blob Storage and Spark JDBC.5. Drive collaboration across teams to implement advanced analytics and ML models in Databricks.6. Identify and resolve performance bottlenecks and network-related issues.7. Ensure adherence to data governance and compliance standards across all data flows. Expierence Range 10+ Years Secondary Skills (Good To have) • Secondary Skills: Understanding of Databricks ML and analytics tools. Experience resolving networking/VPN issues related to data flow. Familiarity with data governance, security, and compliance frameworks. Experience in setting up CI/CD pipelines and using DevOps tools is a plus. Soft skills/other skills (If any) Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and derive meaningful insights Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders Leadership Skills: Proven ability to lead and manage teams, with a track record of successful project delivery. Presentation Skills: Effectively presenting project updates and outcomes to stakeholders and executives. Job Types: Full-time, Contract Pay: $103,951.92 - $160,000.00 per year Application Question(s): ONLY LOCALS TO CALIFORNIA AND NO C2C WITH EMPLOYERS What's your visa status and current location? Experience: data engineering and architecture roles.: 10 years (Required) led 3 or more end-to-end enterprise data projects,: 3 years (Required) Databricks, PySpark, Spark SQL, and Delta Lake.: 5 years (Required) Ability to Commute: San Jose, CA 95139 (Required) Work Location: In person