Databricks Lead developer

Infosys is seeking an Databricks Lead developer with experience in building large data warehouse. In this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Design, coding and testing. Responsible for architecting and delivering Databricks-based Lakehouse solutions including medallion‑layered Delta Lake pipelines, job orchestration through Databricks Workflows, CI/CD integration using Repos & Azure Dev Ops, and governance using Unity Catalog.

Led optimization initiatives around cluster policies, autoscaling, Photon execution, and data pipeline performance. Partnered with business, platform, and data science teams to enable analytics, BI, and ML workloads on Databricks.

• Candidates must be located within commuting distance of Indianapolis, IN or Raleigh, NC or Tempe, AZ or Hartford, CT or Richardson, TX or be willing to relocate to the area.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• At least 4 years of Information Technology experience
• At least 3 years on Databricks.
• Expertise in PySpark, Spark SQL, Delta Lake, and distributed compute concepts.
• Strong experience with Azure (preferred) or AWS/GCP ecosystems.
• Hands on with Databricks Workflows, Repos, Unity Catalog, DBFS, Medallion architecture.
• Experience with CI/CD, version control, and Dev Ops for data platforms.
• Solid understanding of data modelling, warehousing concepts, and performance optimization.
• Experience leading technical teams and driving end-to-end data solutions.

• Databricks certifications (Data Engineer Associate/Professional, Machine Learning Professional).
• Experience with MLflow, feature engineering, or MLOps.
• Knowledge of data governance and security frameworks.
• Exposure to Real‑time streaming (Structured Streaming, Kafka, Event Hub).
• Candidates should be able to build and maintain work relationships with the client leadership team, 3rd party vendors and business partners.
• Candidate should involve in effective communications with the offshore delivery team and in conducting & moderating client meetings.
• Should have the capacity to bring in additional business by working with client partners by participating in meetings related to business development, technical discussions and new initiatives.

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change.

We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.