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NuStar Technologies

Data Architecture and Modeling

NuStar Technologies, New York, New York, us, 10261

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Must Have Skills

Cloud Data Architect, Snowflake

Hands‑on experience on Databricks (Delta Lake, Unity Catalogue)

Cortex AI, FiveTran, DBT

Data Quality, Data Governance, MDM, and Data Modeling (Data Products, Data Mesh, Data Vault)

Roles & Responsibilities

Strong experience in Cloud Data Architecture and roadmap, engaging various client stakeholders on the architecture proposition.

Strong experience in Solution Architecture (Data & Analytics).

Prior experience building large‑scale enterprise data architectures using commercial and/or open source Data Analytics technologies, with demonstrated knowledge of data architecture patterns.

Strong cloud architecture expertise (Azure, AWS, GCP) across large projects with a minimum of 2‑3 years experience.

Strong solution implementation experience (platform engineering, developer experience).

Data modelling and architecting skills including data warehousing concepts, data normalization, dimensional data modelling, and various data models including Data Vault.

Demonstrated experience with Databricks (Delta Lake, Unity Catalogue), Snowflake, Cortex AI, FiveTran, dbt, and Data Virtualization tools.

Experience in Big Data, data warehouse, data analytics projects, and/or Information Management related projects.

Lead transformation effort for large opportunities: build strategy and multi‑year transformation roadmap for customers.

Dedicated, resourceful and able to work under pressure.

As part of presales support, shape large multi‑million value deals by driving TCS positioning with customers and building business for TCS.

Develop points of view, solution approaches & pitches for new opportunities.

Define data and technology architecture and patterns on‑prem, hybrid, and cloud using native and partner/tools with recommendations suited to customers’ contexts and objectives.

Strong in Data Governance, MDM, and Data Modeling.

Drive and participate in architecture reviews both internal and client teams.

Oversee data management, warehousing, integration, data movement, and delivery across assigned data initiatives.

Examine data, processes, and technologies to determine current state and critical problems of customers’ data and analytics journey.

Research and recommend training, equipment, and technology to improve data use.

Build connections with client senior leadership (CXOs/D&A Heads) and work with them to develop a clear Data and Analytics strategy and architecture that supports their business goals and objectives.

Salary Range $200,000–$220,000 a year

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