Data Architect

Data Architect

Chicago, IL 60601 (Onsite-Hybrid) – 06-12 Months

Seniority level : Mid-Senior

Employment type : Full‑time

Job function : Engineering and Information Technology

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 ensure 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, translate 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, and 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 models.

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

Lead and participate 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 the data architecture discipline.

Work with product owners, business stewards, data scientists, and end users to understand data consumers’ needs and develop data products / data solutions.

Evaluate and recommend emerging technologies for data management, storage, and analytics.

Contact : Amer Ali – Lead Recruiter

Direct Line :

162

Email : (not provided)

: (not provided)

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

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