• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 8th Dec 2025

• Design the structure and layout of data systems, including databases, warehouses, and lakes

• Select and implement database management systems that meet the organization’s needs by

defining data schemas, optimizing data storage, and establishing data access controls and

security measures

• Deliver exceptional business value by enhancing data pipeline performance, ensuring timely

orchestration, and upholding data governance.

• Translates high-level business requirements into data models and appropriate metadata, test

data, and data quality standards

• Manages senior business stakeholders to secure strong engagement and ensures that the

delivery of the project aligns with longer-term strategic roadmaps

• Leads and participates in the peer review and quality assurance of project architectural artifacts

• Defines and manages standards, guidelines, and processes to ensure data quality

• Works with IT teams, business analysts, and data analytics teams to understand data

consumers’ needs and develop solutions

• Evaluates and recommends emerging technologies for data management, storage, and analytics

Requirements

• A bachelor’s degree in computer science, data science, engineering, or related field

• At least five years of relevant experience in design and implementation of data models for

enterprise data warehouse initiatives

• Experience leading projects involving data lakes, data warehousing, data modelling, and data

analysis

• Proficiency in the design and implementation of modern data architectures and concepts such

as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern

data warehouse tools (Redshift, Snowflake, Databricks)

• Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL,

Couchbase, MongoDB, etc.

• Understanding of entity-relationship modelling, metadata systems, and data quality tools and

techniques

• Ability to assess traditional and modern data architecture components based on business needs

• Experience with business intelligence tools and technologies such as Informatica, Power BI, and

Tableau

• Exceptional communication and presentation skills

• Strong analytical and problem-solving skills

• Ability to collaborate and excel in complex, cross-functional teams involving data scientists,

business analysts, and stakeholders

• Ability to guide solution design and architecture to meet business needs