AWS Databricks Architect -Sr Staff

Qualcomm; Hyderabad; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Qualcomm in Hyderabad seeks a Databricks Architect responsible for technical leadership and executing complex data projects. The role requires expertise in Delta Lake and data governance, along with strong leadership skills.

The ideal candidate has over 14 years of experience in data management and engineering, with proficiency in Python and SQL.

Qualifications

• 14+ years in data management, engineering, or science roles, 7+ years building enterprise-level data models.
• 8+ years with Data Structures and algorithms.
• 8+ years in programming (Java, Python).
• 3+ years interacting with senior leadership.

Responsibilities

• Architect end-to-end data solutions using Medallion Architecture.
• Implement and manage Unity Catalog for data governance.
• Lead and mentor data engineering teams.

Skills

Technical Leadership

Data Engineering

Python

SQL

Data Structures

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

Delta Lake

Databricks

Terraform

Job description

Company

Qualcomm India Private Limited

Job Area

Information Technology Group, Information Technology Group > IT Data Engineer

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 and serves 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.

Qualifications

• 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 building out a 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.

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.

Equal Opportunity Employer

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.