Data Solution Architect

EPAM Systems; Poland; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid work model

Remote work within Poland

Opportunity to work abroad up to 60+?

Employee stock purchase plan 15%

Referral bonuses up to $2,000

Well-being programs

Relocation opportunities

Job summary

EPAM Systems in Poland is seeking a Data Solution Architect to drive data-driven projects, design enterprise data platforms, and empower digital transformation with scalable platforms, ML, and governance.

You will lead architectural activities, collaborate with engineering teams, and deliver data products end-to-end across on-premises and cloud environments, ensuring security and compliance while enabling self-service analytics.

Qualifications

• Experience in requirements engineering, solution architecture, systems development, deployment and maintenance.
• Knowledge of architecture patterns and technological landscape in at least 3 domains (Data Platforms, IoT, ML, Backend, Mobile, etc.).
• Profound knowledge of the technology's internals for at least 1 technology domain.
• Solid understanding of data and analytics platform architectures, data warehousing, BI, data management, integration, security and operations.
• Experience in design, deployment, troubleshooting and re-platforming distributed systems on premises and in the Cloud.
• Structured, systematic knowledge of the entire architecture design process (requirements, quality attributes, technology selection, estimation, documentation).
• Experience in all phases of the software development life cycle with different development methodologies and best practices.
• Highly organized and detail-oriented.

Responsibilities

• Address organization business goals and strategy with best practices in data-, solution-, enterprise- and business- architectures, as well as in software engineering.
• Conduct architectural activities, including analysis of business problems and technology landscape, identification of requirements, design of solutions and artifacts.
• Perform hands-on software engineering activities, write code and create data models in primary technology stacks.
• Build data management environments (data platforms) on premise and in the cloud with security, compliance and automation considerations.
• Guide implementation team efforts in integration and harmonization of data from different sources and management of data products end-to-end.
• Drive data technology consulting services, helping clients shape vision and make decisions under uncertainty.

Skills

Architecture

Requirements engineering

Solution architecture

Data platforms

Cloud technologies

ML concepts

Software engineering

Data modeling

Job description

We are seeking a Data Solution Architect for data-driven projects. Together, we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms.

Data Solution Architect is an expert who empowers an organization's digital transformation through enterprise data enablement and democratization.

Responsibilities

• Address organization business goals and strategy with best practices in data-, solution-, enterprise- and business- architectures, as well as in software engineering


• Conduct various architectural activities, which include analysis of business problems and technology landscape, identification of significant requirements, design of solutions and creation of corresponding artifacts


• Perform hands‑on software engineering activities, i.e., write code and create data models in primary technology stacks, read/understand code and data models for non-primary technology stacks, apply software design patterns and practices


• Build data management environments (data platforms), where data and AI products can be produced and hosted, both on premise and in the cloud, with consideration of security, compliance and regulatory limitations, including automation and operational components, monitors, platform orchestration, batch and streaming data ingestion, data access layer, metadata management and semantic layer, self‑service and exploratory environment, CI/CD and infrastructure automation, capacity and cost management components; as well as interfaces for reports of data flow and data quality metrics, operational statuses, and catalog operations


• Guide implementation team efforts in integration and harmonization of data from different sources, construction of analytical data products (including real‑time streaming analytical data products) on its basis within the data platform, as well as management of data products life cycle end‑to‑end, with assurance of their data quality, security and privacy, and doing it efficiently at scale


• Drive data technology consulting services, help clients to shape a vision of the solution and make decisions under uncertainty

Requirements

• Experience in requirements engineering, solution architecture, systems development, deployment and maintenance


• Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.)


• Profound knowledge of the technology's internals for at least 1 technology domain


• Solid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areas


• Wide experience in design, implementation, deployment, troubleshooting and re‑platforming of distributed systems both on premises and in the Cloud


• Structured and systematic knowledge of the entire of architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.)


• Experience in all phases of the software development life cycle with different development methodologies and best practices


• Highly organized and detail-oriented

We offer

• We gather like-minded people:


• Top tech minds driving innovation in AI, cloud and digital platform modernization


• Supportive team and agile, startup-like culture


• Hybrid by design mode and opportunity to work remotely within Poland


• Chance to work abroad for up to 60 days annually


• Business-driven relocation opportunities


• Thought leadership, mentoring, soft skills and well‑being programs


• We cover it all:


• Participation in the Employee Stock Purchase Plan with a 15% discount


• Referral bonuses up to $2,000


• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more


• Corporate, social and well‑being events


• Please, note:


• Benefits listed above are available to employees only


• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually


• We will reach out to selected candidates exclusively

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.