Databricks Data Architect
United Kingdom
EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. 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 including Insurance, Healthcare, Banking and Financial Services, Media, and Retail among others.
Headquartered in New York, our team is over 55,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
Role Title: Databricks Data Architect
BU/Segment: Analytics
Location: London, United Kingdom
Employment Type: Permanent, FTC or Umbrella Contractor (Inside IR35)
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Banking Big Data Business Intelligence CI/CD Databricks Data governance Data management Data quality Data Warehousing DevOps ELT ETL Excel Finance GCP Informatica Oracle PostgreSQL Power BI QlikView Redshift Snowflake SQL SSIS Streaming Tableau Terraform
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Insurance Salary bonus Transparency
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