Senior Data Architect at EXL Talent Acquisition Team

, , United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Big Data, Data Pipelines, Snowflake, Data Models, Data Ingestion, Data Transformation, Data Consumption, Micro-Partitioning, Clustering, Query Performance Tuning, RBAC, Data Masking, Dynamic Tables, Streams, Tasks

Industry

Business Consulting and Services

Description

Architect and govern enterprise Big Data platforms (data lake, lakehouse, warehouse, real-time). Design high-volume, high-velocity data pipelines using batch and streaming frameworks. Responsible for designing and optimizing Snowflake data models, ensuring scalability, performance, and cost efficiency across environments. Lead end‑to‑end architecture for data ingestion, transformation, and consumption using Snowflake best practices, including micro‑partitioning, clustering, and query performance tuning. Partner with cross‑functional teams to build secure and governed data solutions leveraging Snowflake features such as RBAC, data masking, dynamic tables, and streams/tasks. Drive standardization of data architecture patterns, reusable frameworks, and coding practices across the data engineering team. EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for 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 54,000 employees spanning six continents. For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Responsibilities

Architect and govern enterprise Big Data platforms and design high-volume data pipelines. Lead end-to-end architecture for data ingestion, transformation, and consumption using Snowflake best practices.