Nuvia
General 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. They serve as a bridge between business stakeholders and engineering teams, ensuring that the platform is secure, cost-optimized, and capable of supporting advanced AI/ML workloads.
This role requires full-time onsite work in our Boulder, CO office.
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.
Preferred Qualifications
14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree.
7+ years of enterprise data modelling experience.
3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms.
Strong functional knowledge across Sales, Marketing, Customer Support, Supply Chain, Finance and other corporate functions
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
Minimum Qualifications:
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.
12+ 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.
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 proactive soft skills
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Pay range and Other Compensation & Benefits:
$159,100.00 - $238,700.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.