Sr. Data / Data Solutions Architect - Databricks

EPAM Systems; India; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

EPAM Systems is seeking an experienced Data Solutions Architect to design scalable, secure data solutions for enterprise data and AI initiatives. The role involves translating business requirements into end-to-end architectures and leading reviews across data platforms.

Key responsibilities include designing with Data Warehouse, Data Lake, Lakehouse, Lambda/Kappa patterns, and guiding cross-functional teams through migration to modern cloud data platforms.

Qualifications

• 12–22 years of IT experience including data/solution architecture or data engineering.
• Proven track record 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.
• Excellent communication and stakeholder management.

Responsabilités

• Translate business requirements into end-to-end data solution architectures.
• Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa patterns.
• Lead architecture design, 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.

Connaissances

Data architecture

Cloud platforms

SQL

Python/Java/Scala

Stakeholder mgmt

Outils

Databricks

Apache Spark

Delta Lake

Azure Data Factory

Informatica MDM

Description du poste

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