Data Architect - AWS

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. 

We are headquartered in New York and have more than 59,000 employees spanning six continents. For more information, visit www.exlservice.com.

Role Title: Data Architect AWS

BU/Segment:Data Management / Analytics 

Location:   London, United Kingdom (Flexible hybrid working) 

Employment Type: Permanent

Summary of the role:

The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions 

Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. 

Understands and leverages best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges

Provides data understanding and coordinate data related activities with other data management groups such as master data management, data governance and metadata management. 

Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.

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

• Design and develop conceptual / logical / physical data models for Enterprise scale data lake and data warehouse solutions
• Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, etc.
• Create functional & technical documentation – e.g. data integration architecture documentation, data models, data dictionaries, data integration specifications, data testing plans, etc. 
• Collaborate with business users to analyse and test requirements
• Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Architecture
• Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value,) ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level
• Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels
• Organised and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.

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

• 5-10 years of Enterprise Data Modelling
• Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)
• Experience with major database platforms (e.g. Oracle, SQL Server, Teradata, etc.)
• Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)
• 3-5 years of management experience required
• 3-5 years consulting experience preferred
• Bachelor’s degree or equivalent experience, Master’s Degree Preferred 
• Experience in data analysis and profiling
• Strong data warehousing and OLTP systems from a modelling and integration perspective
• Strong understanding of data integration best practices and concepts
• Strong development experience under Unix and/or Windows environments
• Strong SQL skills required scripting (e.g., PL/SQL) preferred
• Strong Knowledge of all phases of the system development life cycle
• Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data.
• Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, Google Cloud) 

Skills and Personal attributes we would like to have:

• Comprehensive understanding of relational databases and technical documentation
• Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions.
• Ability to transform business requirements into technical requirement documents.
• Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together. 
• Can create documentation and presentations such that the they “stands on their own.” 
• Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered. 
• Ability to work independently on projects as well as collaborate effectively across teams
• Must excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are required for success
• Strong team building, interpersonal, analytical, problem identification and resolution skills
• Experience working with multi-level business communities
• Can effectively utilise SQL and/or available BI tool to validate/elaborate business rules.
• Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with the team to design effective solutions to business problems/issues.
• Understands and leverages a multi-layer semantic model to ensure scalability, durability, and supportability of the analytic solution.
• Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point.
• Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM

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.