Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Solution Architect (Data Governance Specialist)

Epam
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Solutions Architect (Modern Big Data)

Data Architect

Senior Data Engineer

Senior Data Engineer

Data Architect

Description

About the role



Do you enjoy solving complex data problems for enterprise clients/leading brands within a team? Are you a hands-on consultant who can deliver tangible solutions? Can you define and accelerate the adoption of a Data Governance operating model and framework?
Then you have a fantastic opportunity to join a multi-disciplinary team of analysts, architects, engineers, as a Data Governance and Collibra Architect while we continue to grow our practice within EPAM.

Responsibilities

Work alongside the client to understand their business problems Deliver high-quality architecture and implementation designs Build out the Collibra Operating Model Collaborate with the client, analysts, and architects Influence ways of working within client teams Share best practises and present ideas with clarity Develop consistent presentations and communication materials to promote and inform on relevant Data Governance topics the data community Coordinate and facilitate the creation and maintenance other essential Data Governance Office artifacts, such as information model and data quality business rules Collaborate with business stakeholders, data owners, and data stewards to establish data governance roles, responsibilities and accountabilities within the organization

Requirements

4+ years of hands-on experience in building and shaping data governance practices Advanced knowledge/proficiency in Data Governance and associated framework, methodologies, techniques, processes and approaches Extensive data governance, data catalog or data quality experience Expertise in at least one of the following data catalog tools: Collibra, Databricks Unity Catalog, Microsoft Purview, Alation, data.world, Informatica data catalog, Google dataplex data catalog, AWS DataZone Experience working in a highly complex environment with senior stakeholders with challenging deadlines and deliverables Familiarity with industry standards such as MISMO, DCAM, DMBOK A Collibra Solution Architect certification or equivalent Basic skills in Java or Groovy development Good knowledge of APIs and integration techniques Strong verbal and written communication, presentation skills

We Offer

A competitive group pension plan and protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Cyclescheme, Techscheme and season ticket loans Employee assistance program Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more EPAM Employee Stock Purchase Plan (ESPP) Various perks such as gym discounts, free Wednesday lunch in-office, on-site massages and regular social events Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.