Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Databricks Data Architect

ExlService Holdings, Inc.
City of London
4 days ago
Create job alert
Databricks Data ArchitectExlService Holdings, Inc. London, United Kingdom

Job Description

EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations.

EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents.

Role Title: Databricks Data Architect
BU/Segment: Analytics
Location: London, United Kingdom
Employment Type: Permanent

Summary of the role:

The Databricks Data Architect at EXL is a strategic role that brings technical expertise to guide, design, and deliver robust data management and data architecture solutions. Working alongside engagement and project managers, you will lead client assessments, recommend future state architectures, and develop strategies aligned with client objectives.

As part of your duties, you will be responsible for:

  • Technical Leadership: Lead technical teams in crafting and delivering end-to-end data solutions, addressing complex business needs with expertise in data warehousing, business intelligence, and reporting solutions-both on-premises and cloud-based (Azure, AWS, or GCP).
  • Data & Solution Architecture: Design and build large-scale data solutions, including data lakes, lakehouses, and warehouses, using technologies such as Databricks with experience in Snowflake, Azure Synapse, or Azure Fabric also desirable. Being able to model data within across traditional data lake layers to best meet business needs.
  • ETL/ELT Tooling: Utilise ETL/ELT tools like Databricks, SSIS, Azure Data Factory (ADF), Informatica, and IBM DataStage to support efficient data movement and transformation.
  • Data Governance and Management: Apply data governance and master data management tools (e.g., Unity Catalog, Profisee, Alation, DQ Pro) to ensure data quality and integrity.
  • Collaborative Leadership: Demonstrate team-oriented leadership qualities, fostering innovation, problem-solving, and knowledge sharing within the team.
  • Client Advisory: Act as a trusted adviser, participating in client strategy development and assessments to identify growth opportunities and drive the implementation of cloud migration and data architecture initiatives.
  • Documentation and Compliance: Create and maintain documentation (data models, integration architecture, technical requirements) to ensure transparency and project alignment.
  • Continuous Learning: Stay current with emerging technologies to provide clients with the most effective recommendations for data architecture advancements.

Qualifications and experience we consider to be essential for the role:

  • Education & Experience: Bachelor's or Master's degree in Business, IT, or a related field, with a minimum of 10 years in BI/Data Warehousing, including at least 4 years in technical/solution architecture.
  • Data Modelling Expertise: 3-5 years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer.
  • Cloud and Big Data Skills: Proven experience with data ingestion (batch and streaming), CI/CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse.
  • Business Intelligence Experience: Proficiency in reporting tools such as Power BI, Tableau, and QlikView.
  • Industry Knowledge: Preferable background in Insurance or Finance sectors to align with industry-specific requirements.

As part of a leading global analytics and digital solutions company, you can look forward to:

  • A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
  • EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
  • At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
  • As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
  • EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
  • At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.


#J-18808-Ljbffr

Related Jobs

View all jobs

Databricks Data Architect

Databricks Data Architect

Databricks Data Architect

Databricks Data Architect

Databricks Data Architect

Databricks Data Engineer - Newcastle (hybrid) - £450/pd

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.