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Data Solution Architect
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingArchitect scalable big data analytics solutions on cloud platforms
Define and implement data warehouse and data lake architectures
Evaluate and introduce patterns such as Lambda, Kappa or Data Mesh
Lead data security, protection and governance compliance efforts
Act as technical leader guiding engineering and development teams
From the employer’s posting
Architect and design scalable solutions for big data analytics on cloud platforms
Define and implement architectures for data warehouses and lakes based on business needs
Evaluate and introduce architecture patterns such as Lambda, Kappa or Data Mesh into projects
Lead efforts around data security, protection and governance compliance
Serve as a technical leader, offering guidance across engineering and development teams
What you’ll bring
All qualificationsCore experience
- 12-16 years of experience in IT
- 2+ production architecture designs or solution reviews in past 2-3 years
- Proficiency in at least one cloud platform (Azure, AWS, GCP or Snowflake)
- Understanding of big data tools such as Spark, Kafka, Hadoop and Airflow
- Hands-on Python, R, Scala, Java or .NET skills for prototyping
Qualification wording
12-16 years of experience in IT
including 2 or more production architecture designs or solution review activities over the past 2 to 3 years
Proficiency in at least one cloud platform such as Azure, AWS, GCP or Snowflake
Understanding of Big Data technologies including Spark, Spark Streaming, Hadoop, Kafka, Hive
Hands-on skills in Python, R, Scala, Java or .NET for prototype and PoC development
Tools in this posting
- Java
- Python
- R
- Scala
- AWS
- Azure
- GCP
- Hadoop
- Hive
- Kafka
- NoSQL
- Snowflake
- Spark
- Airflow
Source — Tool mentions in context
We are seeking a skilled and experienced Data Solution Architect to architect and design scalable data solutions, drive technical innovation and provide strategic direction in big data and analytics. The role involves collaborating with multiple teams to deliver robust, cloud-based, cost-effective data solutions. Responsibilities Architect and design scalable solutions for big data analytics on cloud platforms Provide strategic vision for data ingestion, processing, security, governance and analytics scalability Serve as a technical leader, offering guidance across engineering and development teams Define and implement architectures for data warehouses and lakes based on business needs Evaluate and introduce architecture patterns such as Lambda, Kappa or Data Mesh into projects Optimize and monitor architecture for centralized, distributed, federated or decentralized data management Implement solutions leveraging AI/ML and Generative AI technologies for data-driven automation Collaborate with multi-disciplinary teams to ensure seamless integration of new technologies Develop prototypes using programming languages such as Python, Scala or Java for concept validation Implement and ensure DevOps and CI/CD best practices are followed throughout development Lead efforts around data security, protection and governance compliance Requirements 12-16 years of experience in IT, including 2 or more production architecture designs or solution review activities over the past 2 to 3 years Knowledge of multiple architecture patterns such as DWH, Data Lake, Virtualization, Lambda, Kappa or Data Mesh Expertise in centralized, distributed, decentralized or federated data management approaches Background in AI/ML and Gen AI-related technologies Proficiency in at least one cloud platform such as Azure, AWS, GCP or Snowflake Understanding of Big Data technologies including Spark, Spark Streaming, Hadoop, Kafka, Hive, NoSQL databases like HBase or Cassandra and orchestration tools (Airflow, Oozie) Competency in at least 2 Data Management domains such as BI & Visualization, Data Integration, Data Engineering, Generative AI, Data Governance, Data Quality, Security and Storage Familiarity with DevOps and CI/CD tools like GitLab, Jenkins, Azure DevOps and containerization technologies Hands-on skills in Python, R, Scala, Java or .NET for prototype and PoC development
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
Check the employer’s posting for the current role and application details.
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Has EPAM Systems posted this job before?
Yes. We’ve followed 10 other Data Solution Architect jobs there since November 2026. All 10 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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 skilled and experienced Data Solution Architect to architect and design scalable data solutions, drive technical innovation and provide strategic direction in big data and analytics. The role involves collaborating with multiple teams to deliver robust, cloud-based, cost-effective data solutions. Responsibilities Architect and design scalable solutions for big data analytics on cloud platforms Provide strategic vision for data ingestion, processing, security, governance and analytics scalability Serve as a technical leader, offering guidance across engineering and development teams Define and implement architectures for data warehouses and lakes based on business needs Evaluate and introduce architecture patterns such as Lambda, Kappa or Data Mesh into projects Optimize and monitor architecture for centralized, distributed, federated or decentralized data management Implement solutions leveraging AI/ML and Generative AI technologies for data-driven automation Collaborate with multi-disciplinary teams to ensure seamless integration of new technologies Develop prototypes using programming languages such as Python, Scala or Java for concept validation Implement and ensure DevOps and CI/CD best practices are followed throughout development Lead efforts around data security, protection and governance compliance Requirements 12-16 years of experience in IT, including 2 or more production architecture designs or solution review activities over the past 2 to 3 years Knowledge of multiple architecture patterns such as DWH, Data Lake, Virtualization, Lambda, Kappa or Data Mesh Expertise in centralized, distributed, decentralized or federated data management approaches Background in AI/ML and Gen AI-related technologies Proficiency in at least one cloud platform such as Azure, AWS, GCP or Snowflake Understanding of Big Data technologies including Spark, Spark Streaming, Hadoop, Kafka, Hive, NoSQL databases like HBase or Cassandra and orchestration tools (Airflow, Oozie) Competency in at least 2 Data Management domains such as BI & Visualization, Data Integration, Data Engineering, Generative AI, Data Governance, Data Quality, Security and Storage Familiarity with DevOps and CI/CD tools like GitLab, Jenkins, Azure DevOps and containerization technologies Hands-on skills in Python, R, Scala, Java or .NET for prototype and PoC development
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
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- Work authorization
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