DE&A - Core - Advanced Data Engineering - Data Modeling

Zensar•Boston, MA

6h•Hybrid

About The Position

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! Role - Data Architect

Requirements

Design and govern conceptual, logical, and physical data models for banking domains (Customer, Account, Transaction, Product, Risk, Compliance), experience in data modeling tools line ER Studio.
Define enterprise data architecture standards and modeling best practices aligned with Azure/Snowflake services (ADLS, Azure SQL, Snowflake etc.)
Experience in mapping data elements from source systems to target systems; experience in FIS Horizon or IBIS is preferable
Partner with business, data engineering, and platform teams to enable financial reporting solutions
Proficient in overall Data architecture and design of data components; support Data engineers in the overall development lifecycle
Support Azure-based data platforms and data products, optimizing models for performance, cost, and future extensibility
Hands on experience in SQL and excel, with strong skills in reverse engineering and developing clear and well-structured documents and presentations. Knowledge of Snowflake is preferable.

Nice To Haves

Experience in mapping data elements from source systems to target systems; experience in FIS Horizon or IBIS is preferable
Hands on experience in SQL and excel, with strong skills in reverse engineering and developing clear and well-structured documents and presentations. Knowledge of Snowflake is preferable.

Responsibilities

Design and govern conceptual, logical, and physical data models for banking domains (Customer, Account, Transaction, Product, Risk, Compliance), experience in data modeling tools line ER Studio.
Define enterprise data architecture standards and modeling best practices aligned with Azure/Snowflake services (ADLS, Azure SQL, Snowflake etc.)
Experience in mapping data elements from source systems to target systems; experience in FIS Horizon or IBIS is preferable
Partner with business, data engineering, and platform teams to enable financial reporting solutions
Proficient in overall Data architecture and design of data components; support Data engineers in the overall development lifecycle
Support Azure-based data platforms and data products, optimizing models for performance, cost, and future extensibility
Hands on experience in SQL and excel, with strong skills in reverse engineering and developing clear and well-structured documents and presentations. Knowledge of Snowflake is preferable.