Data Architect
1 week ago
Data Architect (13-18 Years)
LocationSan Jose, CA (Onsite)
DurationLong term contract
Key SkillsDatabricks with ETL and SQL
Educational QualificationBachelors degree in Computer Science, Information Systems, or a related field.
OverviewWe 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 RequiredMinimum of 12 years of experience in data engineering and architecture roles.
Must have led 3 or more end?to?end enterprise data projects, using Databricks and Azure technologies.
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
- Lead the design and implementation of ETL solutions using Azure Data Factory
- Guide and mentor team members on data engineering best practices
- Develop and maintain complex ETL pipelines using Python, Java, or Scala
- Ensure high?quality, secure, and performant data migrations using Azure Blob Storage and Spark JDBC
- Drive collaboration across teams to implement advanced analytics and ML models in Databricks
- Identify and resolve performance bottlenecks and network?related issues
- Ensure adherence to data governance and compliance standards across all data flows
- 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 a plus
- 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
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