EPAM Systems
Sr. Data / Data Solutions Architect - Databricks
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Architecture
- Posted
Skills
Must have
- 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering
- Strong experience designing production-ready data architectures
- Hands-on experience with Azure, AWS, or GCP
- Strong knowledge of Databricks, Apache Spark, and Delta Lake
- Proficiency in SQL and modern data platforms
- Understanding of batch, streaming, ETL/ELT, data modeling, and data governance
- Excellent communication, stakeholder management, and problem-solving skills
Nice to have
- Proficiency in Python, Java, or Scala
- Familiarity with Informatica MDM, Celonis, or Azure Data Factory
- Background in cloud migration or data and AI platforms
Full description
We are looking for an experienced Data Solutions Architect to design scalable, secure, and modern data solutions for enterprise data and AI initiatives.
Responsibilities
- Translate business requirements into end-to-end data solution architectures
- Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns
- Lead architecture design, technical feasibility assessments, and solution reviews
- Design and support cloud data platforms and data modernization initiatives
- Work on migration and transformation projects involving Azure Databricks and Databricks Lakehouse
- Guide data engineering, analytics, cloud, and DevOps teams
- Ensure solutions meet scalability, performance, security, governance, and cost requirements
Requirements
- 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering
- Strong experience designing production-ready data architectures
- Hands-on experience with Azure, AWS, or GCP
- Strong knowledge of Databricks, Apache Spark, and Delta Lake
- Proficiency in SQL and modern data platforms
- Understanding of batch, streaming, ETL/ELT, data modeling, and data governance
- Excellent communication, stakeholder management, and problem-solving skills
Nice to have
- Proficiency in Python, Java, or Scala
- Familiarity with Informatica MDM, Celonis, or Azure Data Factory
- Background in cloud migration or data and AI platforms
Benefits
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)