Senior Data Architect

Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth.
Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others.
Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect.
Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents.
For information, visit www.
exlservice.
com.
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change.
The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
Role Overview: • Expected to work in close collaboration with the EXL team and client on data transformation, data engineering and data technology projects • Work with client to understand company needs to define architecture and build data solutions • Plan and design the structure of a technology solution • Understanding of strategic data and IT solutions • Evaluate and select appropriate software or hardware and suggest integration methods • Ensure the implementation of agreed architecture and infrastructure • Familiarity with various operating systems (e.
g.
Windows, UNIX) and databases (e.
g.
MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc.
).
Familiarity with SFTP tools.
• Doing independent research, analyze, and present capabilities and alignment with current solution • Experience in cloud technologies (PaaS, IaaS, SaaS, AWS, Azure, IBM Cloud etc.
) • Managing the learning and development of new team members • Identify and participate in continuous improvement initiatives • Ensure compliance with Data Privacy and Protection Guidelines • Participate in business development activities • Experience in insurance preferred but not mandatory.
Key Responsibilities & Skillsets: • Common Skillsets: • 10+ years of experience as Technical Architect/Data Architect • Expertise in building solution architecture, data pipelines, technical workflows • Excellent communication & presentation skills with consultative mindset • Should be able to lead team independently and prepare/manage client ready deliverable • Able to understand cross cultural differences and can work with clients across the globe • Data Management Skillsets: • Strong familiarity with data engineering principles, architectures, pipeline design and cloud technologies.
Must have experience working and building architecture/pipelines on AWS.
• Strong and in-depth understanding of Data Engineering Fundamentals • Solid and in-depth knowledge of Cloud data management (AWS services) • Experience with AWS technologies including AppSync, Lambda, Step Functions, Event Bridge.
• Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
• Knowledge of modern cloud native data warehouses i.
e.
, AWS Redshift, Snowflake or Azure Synapse Analytics • Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElasticCache and DynamoDB.
• Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.
• Ability to understand data models and identify ETL optimization opportunities.
Exposure to ETL tools is mandate • Should have strong grasp of advanced SQL functionalities (Partitioning, CTE, Schemas, Architecture etc.
) • Strong ability to translate functional specifications / requirements to technical requirements Candidate Profile: • Bachelor’s/Master's degree in computer science/engineering • Expertise in AWS • Data/Technical Architect experience is mandatory • AWS Solutions Architect or AWS Big Data Certification preferred • Analytical and problem solving skills • Outstanding written and verbal communication skills • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges What we offer: • EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.
From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in.
You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth • Analytics requires different skill sets at different levels within the organization.
At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members.
The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
EEO/Minorities/Females/Vets/Disabilities To view our total rewards offered click here — > https://www.
exlservice.
com/us-careers-and-benefits Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position.
Actual salaries will vary depending on factors including but not limited to: location and experience.
The base salary range listed is just one component of EXL's total compensation package for employees.
Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc.
(the “Company”) for yourself or for the other individual is a crime.
We have implemented measures to deter and to uncover such unlawful conduct.
If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied.
While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile.
As a candidate, you can choose to opt out of this artificial intelligence screening process.
Your decision to opt out will not negatively impact your opportunity for employment with EXL.