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Senior Data Solution Architect

EPAM Systems, Inc.
Chennai, IND
Full-time
Senior · 15+ years experience
Onsite
Discovered 3 weeks ago
Big DataSnowflakeData MeshSparkSpark StreamingHadoop
Free

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Responsibilities

  • Define, develop and implement architecture for cloud-based big data analytics solutions
  • Provide technical leadership across multiple teams, fostering collaboration and alignment on architectural decisions
  • Design and oversee systems for data ingestion, processing, security, governance and quality management
  • Evaluate, recommend and apply best practices in data management domains such as integration, modeling, governance and BI solutions
  • Ensure optimal performance, scalability and cost-effectiveness for data systems
  • Review and validate production architecture designs and solutions to ensure alignment with business requirements
  • Drive adoption of cutting-edge technologies including AI/ML and Generative AI tech stacks
  • Lead initiatives in data management domains such as master data management, MLOps and data security
  • Build and maintain robust CI/CD pipelines and DevOps practices in collaboration with development teams
  • Stay informed about emerging data architecture trends and ensure continuous improvement of solutions

Requirements

  • 15 to 20 years of experience in software engineering with deep expertise in data solutions
  • At least 2 production-grade architecture designs or solution reviews in the past 2-3 years
  • Knowledge of architecture patterns such as DWH, Data Lake, Lambda, Kappa, Virtualization and Data Mesh
  • Background in centralized, distributed, decentralized and federated data systems
  • Experience with at least one cloud platform: Azure, AWS, GCP or Snowflake
  • Practical expertise with Big Data stack including Spark, Spark Streaming, Hadoop and Hive
  • Capability to work with NoSQL technologies like HBase or Cassandra and orchestration tools such as Oozie, Falcon or Airflow
  • Strong understanding of at least 2 data management domains: Data Integration, MLOps, Generative AI, Data Governance or Data Modeling
  • Hands-on skills in programming with Python, R, Scala, Java or .NET for PoCs or prototypes
  • Proficiency in DevOps and CI/CD tools such as GitLab, GitHub, Azure DevOps and containerization with Docker or Podman
  • Expertise in BI and data visualization tools like Power BI or Tableau

We offer/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.)

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