Data Architect

Data Architect

Chicago, IL 60601 (Onsite-Hybrid. LOCAL PROFILES)

06-12 Months

Must Have Skills:

Snowflake

Azure

Google Cloud Platform

Python

Minimum Years of Experience 10+ years

Responsibilities

Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps

Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures

Implement the long-term Data & Analytics strategy and deliver functional objectives

Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards

Explore Data Sources by working with Application owners to confirm datasets to be extracted

Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions

Design Data models for Source data products, Master data products & Insight data products.

Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.

Support Data Engineering and BI Engineering teams during the build phase

Review Data models development, validate and provide deployment approval

Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).

Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company

Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums

Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.

Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers needs and develop data products/ data solutions

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

Amer Ali - Lead Recruiter

Direct Line : *162 | Email :

LinkedIn:

Princeton Forrestal Village, 116 Village Blvd, Suite 200 , Princeton, NJ ,08540

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