--- title: Data Architect at EPAM Systems description: We are seeking a Staff Consultant to serve as a long-term, full-time resident Data Architect supporting our customer's data foundation. This role focuses on enabling and operating Amazon SageMaker Uni --- # Data Architect **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-09-03 **Apply by:** 2026-10-18 **Tags:** architect [Apply / View original posting](https://www.linkedin.com/jobs/view/4461907828) ## Job description We are seeking a Staff Consultant to serve as a long-term, full-time resident Data Architect supporting our customer's data foundation. This role focuses on enabling and operating Amazon SageMaker Unified Studio, building and optimizing serverless data pipelines, managing modern data lake storage formats, and integrating agentic AI services to support data rendering and analytics. The position spans data platform engineering, self-service analytics enablement, and BI delivery through Quick Suite, all aligned with AWS cloud-native best practices. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Configure, manage, and support Amazon SageMaker Unified Studio (SMUS), including data catalog, blueprints, and serverless compute capabilities Enable self-service data discovery, exploration, and analysis for business and technical users through SMUS Design and maintain SMUS blueprints and templates for repeatable, governed data workflows, while managing IAM domains, access policies, and governance configurations Architect and maintain the customer's data foundation on AWS, ensuring scalability, governance, and performance Design and optimize data lake architectures using Amazon S3, including modern storage formats (Parquet, Iceberg, Delta), and implement data cataloging, partitioning, and lifecycle management strategies for large-scale environments Integrate Amazon OpenSearch Service for search, analytics, and data exploration use cases Build and optimize serverless data pipelines using AWS Glue and AWS Lambda, including ETL/ELT jobs for data ingestion, transformation, and delivery Ensure pipeline reliability, monitoring, and error handling using AWS-native tooling such as CloudWatch, Glue job metrics, and S3 analytics Support the integration and delivery of Quick Suite (QuickSight / QuickSight Q) for analytics, dashboards, and self-service reporting Integrate agentic AI services to support intelligent data rendering, automated insights, and data-driven decision-making, collaborating with AI/ML teams to connect agentic workflows with the data foundation Apply AWS Well-Architected Framework principles with emphasis on security, reliability, performance efficiency, and cost optimization Document data architectures, SMUS configurations, pipeline designs, and operational runbooks, and conduct regular knowledge transfer sessions to build internal capability Requirements 7+ years of experience in data architecture and engineering roles, preferably within AWS cloud environments Expertise in Amazon SageMaker Unified Studio, including catalog, blueprints, and serverless compute Proficiency in AWS Glue, AWS Lambda, and serverless compute for data workflows Background in Data Lake architectures and Amazon S3 with modern storage formats (Parquet, Iceberg, Delta) Skills in Data Foundation Architecture, covering catalog, governance, and self-service enablement Familiarity with Amazon OpenSearch Service for search, analytics, and data exploration Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of Quick Suite / Amazon QuickSight Understanding of Agentic AI Services (e.g., Bedrock Agents, AgentCore) Competency in Amazon Lake Formation Skills in Infrastructure as Code (CDK, Terraform) Strong knowledge of Python We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Data+Architect) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Data Architect","description":"

We are seeking a Staff Consultant to serve as a long-term, full-time resident Data Architect supporting our customer's data foundation. This role focuses on enabling and operating Amazon SageMaker Unified Studio, building and optimizing serverless data pipelines, managing modern data lake storage formats, and integrating agentic AI services to support data rendering and analytics. The position spans data platform engineering, self-service analytics enablement, and BI delivery through Quick Suite, all aligned with AWS cloud-native best practices. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Configure, manage, and support Amazon SageMaker Unified Studio (SMUS), including data catalog, blueprints, and serverless compute capabilities Enable self-service data discovery, exploration, and analysis for business and technical users through SMUS Design and maintain SMUS blueprints and templates for repeatable, governed data workflows, while managing IAM domains, access policies, and governance configurations Architect and maintain the customer's data foundation on AWS, ensuring scalability, governance, and performance Design and optimize data lake architectures using Amazon S3, including modern storage formats (Parquet, Iceberg, Delta), and implement data cataloging, partitioning, and lifecycle management strategies for large-scale environments Integrate Amazon OpenSearch Service for search, analytics, and data exploration use cases Build and optimize serverless data pipelines using AWS Glue and AWS Lambda, including ETL/ELT jobs for data ingestion, transformation, and delivery Ensure pipeline reliability, monitoring, and error handling using AWS-native tooling such as CloudWatch, Glue job metrics, and S3 analytics Support the integration and delivery of Quick Suite (QuickSight / QuickSight Q) for analytics, dashboards, and self-service reporting Integrate agentic AI services to support intelligent data rendering, automated insights, and data-driven decision-making, collaborating with AI/ML teams to connect agentic workflows with the data foundation Apply AWS Well-Architected Framework principles with emphasis on security, reliability, performance efficiency, and cost optimization Document data architectures, SMUS configurations, pipeline designs, and operational runbooks, and conduct regular knowledge transfer sessions to build internal capability Requirements 7+ years of experience in data architecture and engineering roles, preferably within AWS cloud environments Expertise in Amazon SageMaker Unified Studio, including catalog, blueprints, and serverless compute Proficiency in AWS Glue, AWS Lambda, and serverless compute for data workflows Background in Data Lake architectures and Amazon S3 with modern storage formats (Parquet, Iceberg, Delta) Skills in Data Foundation Architecture, covering catalog, governance, and self-service enablement Familiarity with Amazon OpenSearch Service for search, analytics, and data exploration Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of Quick Suite / Amazon QuickSight Understanding of Agentic AI Services (e.g., Bedrock Agents, AgentCore) Competency in Amazon Lake Formation Skills in Infrastructure as Code (CDK, Terraform) Strong knowledge of Python We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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