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Senior Data Solution Architect
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine and implement architecture for cloud-based big data analytics solutions
Provide technical leadership across multiple teams on architectural decisions
Design and oversee systems for data ingestion, processing, security, governance and quality
Review and validate production architecture designs against business requirements
Build and maintain CI/CD pipelines and DevOps practices with development teams
From the employer’s posting
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
Review and validate production architecture designs and solutions to ensure alignment with business requirements
Build and maintain robust CI/CD pipelines and DevOps practices in collaboration with development teams
Tools in this posting
- Java
- Python
- R
- Scala
- AWS
- Azure
- Docker
- GCP
- Hadoop
- Hive
- NoSQL
- Power BI
- Snowflake
- Spark
- Tableau
- Airflow
Source — Tool mentions in context
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
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
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Has EPAM Systems posted this job before?
Yes. We’ve followed 2 other Senior Data Solution Architect jobs there since November 2026. All 2 are still up.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
Source details
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- Pay
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- Location & working pattern
India
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- Work authorization
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