Aws Databricks Architect -Sr Staff
Qualcomm · Hyderabad · onsite · Posted 57d ago
Undisclosed14–19 yrsfulltimeSourced from
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About this role
Job Summary
The Databricks Architect will be responsible for technical decision-making, code quality, and the successful delivery of complex data projects using Delta Lake, Unity Catalog, and Mosaic AI. The Databricks Architect/Lead owns the end-to-end strategy for data ingestion, storage, and analytics and serve as a liaison between business stakeholders and engineering teams, ensuring that the platform is secure, cost-optimized, and capable of supporting advanced AI/ML workloads.
Key Responsibilities - Lakehouse Design: Architect end-to-end data solutions using the Medallion Architecture (Bronze/Silver) and Delta Lake.
- Platform Governance: Implement and manage Unity Catalog for centralized data governance, fine-grained access control, and lineage tracking.
- Technical Leadership: Lead and mentor cross-functional teams of data engineers; conduct code reviews and define engineering best practices in Python, PySpark, and SQL.
- Optimization Performance: Drive cost-efficiency by tuning Spark jobs, managing cluster policies, and leveraging serverless compute and auto-scaling.
- DevOps DataOps Integration: Integrate Databricks workflows into CI/CD pipelines using tools like Databricks Asset Bundles, Terraform, and Azure DevOps or GitHub.
- AI/ML Support: Provide architectural guidance for integrating machine learning models, including feature engineering and model deployment via MLflow.
- Deep hands-on technical understanding in building complex data models for supporting various analytics needs.
- Comfortable in working with cross-functional teams such as Data Engineering, Analytics, SMEs and Business stakeholders.
- Passion to understand complex existing footprint of data solutions and build out the strategy for migrating to Databricks medallion architecture.
- Accountability and Ownership of the delivery in driving the projects to completion.
- 14+ years of experience in data management, data engineering, or data science roles, with at least 7 years in building enterprise level data models as part of data modernization and DW migration efforts.
- 8+ years of work experience with Data Structures and algorithms
- 8+ years of work experience with programming (e.g., Java, Python)
- 8+ years of work experience with SQL or NoSQL Databases
- 3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms.
- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
- Strong understanding and hands-on experience with lakehouse medallion data architecture and governance
- Proven implementation experience with migrating legacy DW data models to 3-layer medallion architecture.
- Strong passion in exploring GenAI based solutions for documenting the existing DW footprint and build out strategic data model for Databricks platform
- Experience with machine learning, artificial intelligence, and predictive analytics is a plus.
- Excellent leadership, communication, and collaboration skills in a global hybrid delivery model
- Strong problem-solving skills with strategic thought process and self-initiative and proctive soft skills
- 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
- OR 9+ years of IT-related work experience without a Bachelor's degree.
- 5+ years of work experience with programming (e.g., Java, Python).
- 3+ years of work experience with SQL or NoSQL Databases.
- 3+ years of work experience with Data Structures and algorithms.
Sourced from naukri
Skills
Azure DevopsData EngineerData ingestionCI/CD Pipelinescomputer engineeringcode qualitydata architectureamazon web servicesAnalyticsAWS DatabricksData EngineeringAlgorithmsArchitectureData GovernanceMicrosoft AzureArtificial Intelligence
About Qualcomm
Qualcomm
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