Senior Data Solution Architect

EPAM Systems; Chennai District; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Health insurance

Job summary

EPAM Systems invites a Senior Data Solution Architect to lead the design and delivery of scalable, secure data platforms. You will steer cloud-based big data analytics, guide cross-functional teams, and shape data governance and quality across initiatives.

You will drive adoption of cutting-edge technologies, including AI/ML and Generative AI stacks, while ensuring cost-effective, high-performance architectures and robust DevOps practices.

Qualifications

• 15–20 years of software engineering experience with data solutions.
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• Experience designing production-grade data architectures.
• Knowledge of DWH, Data Lake, Lambda, Kappa, Data Mesh patterns.
• Experience with one or more cloud platforms (Azure/AWS/GCP/Snowflake).
• Hands-on programming with Python, R, Scala, Java or .NET for PoCs.

Responsibilities

• Define, develop and implement cloud-based big data analytics architectures.
• Provide technical leadership across teams and ensure alignment on decisions.
• Design data ingestion, processing, security, governance, and quality systems.
• Evaluate and apply best practices in data management and BI solutions.
• Ensure scalable, cost-efficient data systems and validate production designs.
• Lead adoption of AI/ML and Generative AI tech stacks across initiatives.
• Oversee MDM, MLOps and data security initiatives.
• Build and maintain CI/CD pipelines and DevOps practices with development teams.
• Stay abreast of emerging data architecture trends and drive continuous improvement.

Skills

Data architecture leadership

Cloud architecture

Big data design

AI/Generative AI strategy

Python programming

Java programming

DevOps practices

CI/CD

Tools

Spark

Spark Streaming

Hadoop

Hive

Oozie

Falcon

Airflow

Docker

Podman

GitLab

GitHub

Azure DevOps

Power BI

Tableau

Job description

We are seeking a highly experienced Senior Data Solution Architect to lead the design and implementation of innovative, scalable and secure data solutions, providing strategic direction and collaborating with cross-functional teams to drive advanced data initiatives.

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