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Data Architect
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign end-to-end data architectures for modeling, integration, storage and analytics
Oversee data migration, transformation and integration across systems
Select technologies and platforms for performance, security and scalability
Establish data governance, quality and security standards
Provide technical leadership to development teams across the project lifecycle
From the employer’s posting
Design end-to-end data architectures, including data modeling, integration, storage, and analytics solutions
Oversee data migration, transformation, and integration processes across various systems
Select appropriate technologies and platforms for data management, ensuring optimal performance, security, and scalability
Establish data governance, quality, and security standards
Provide technical leadership and guidance to development teams throughout the project lifecycle
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 recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- BigQuery
- Databricks
- Delta Lake
- GCP
- Spark
Where the posting names them
We are seeking an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. In this role, you will collaborate with cross-functional teams to translate business needs into robust data architectures while providing technical leadership throughout the project lifecycle. Responsibilities Design end-to-end data architectures, including data modeling, integration, storage, and analytics solutions Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions Select appropriate technologies and platforms for data management, ensuring optimal performance, security, and scalability Oversee data migration, transformation, and integration processes across various systems Establish data governance, quality, and security standards Provide technical leadership and guidance to development teams throughout the project lifecycle Document architectural decisions, data flows, and solution designs Stay updated on emerging data technologies and trends to recommend improvements Requirements 10+ years of hands-on experience in data architecture, data engineering, or related disciplines, with a proven track record of delivering enterprise-scale data solutions Expertise in designing and implementing Data Platforms & Solutions, including end-to-end architecture covering ingestion, storage, processing, and consumption layers for both batch and real-time workloads Deep understanding of Data Mesh principles, including domain-oriented data ownership, data-as-a-product mindset, self-serve data infrastructure, and federated computational governance Proficiency in Databricks, including Delta Lake, Unity Catalog, notebooks, and building scalable ETL/ELT pipelines using Spark for large-scale data processing and analytics Strong hands-on experience with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, along with knowledge of GCP security, networking, and cost optimization best practices Familiarity with Atlan for metadata management, data cataloging, lineage tracking, and enabling enterprise-wide data discovery and governance initiatives Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of Cloudera Data Platform Understanding of Data Lakehouse architectures Background in Gen AI Application Development Skills in Oracle RDBMS
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
Has EPAM Systems posted this job before?
Yes. We’ve followed 6 other Data Architect jobs there since November 2026. All 6 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 an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. In this role, you will collaborate with cross-functional teams to translate business needs into robust data architectures while providing technical leadership throughout the project lifecycle. Responsibilities Design end-to-end data architectures, including data modeling, integration, storage, and analytics solutions Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions Select appropriate technologies and platforms for data management, ensuring optimal performance, security, and scalability Oversee data migration, transformation, and integration processes across various systems Establish data governance, quality, and security standards Provide technical leadership and guidance to development teams throughout the project lifecycle Document architectural decisions, data flows, and solution designs Stay updated on emerging data technologies and trends to recommend improvements Requirements 10+ years of hands-on experience in data architecture, data engineering, or related disciplines, with a proven track record of delivering enterprise-scale data solutions Expertise in designing and implementing Data Platforms & Solutions, including end-to-end architecture covering ingestion, storage, processing, and consumption layers for both batch and real-time workloads Deep understanding of Data Mesh principles, including domain-oriented data ownership, data-as-a-product mindset, self-serve data infrastructure, and federated computational governance Proficiency in Databricks, including Delta Lake, Unity Catalog, notebooks, and building scalable ETL/ELT pipelines using Spark for large-scale data processing and analytics Strong hands-on experience with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, along with knowledge of GCP security, networking, and cost optimization best practices Familiarity with Atlan for metadata management, data cataloging, lineage tracking, and enabling enterprise-wide data discovery and governance initiatives Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of Cloudera Data Platform Understanding of Data Lakehouse architectures Background in Gen AI Application Development Skills in Oracle RDBMS
Source details
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