Senior Data Architect

Quadrant IQ Solutions LLC; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading IT consulting firm is seeking a Mid-Senior Level Data Architect in Chicago, IL. The role involves designing and implementing complex data architecture with expertise in major cloud platforms like AWS, Azure, and GCP. Candidates must have 5+ years of experience, effective communication skills, and a deep understanding of data governance and modeling concepts. This full-time position offers an opportunity for agile project involvement and collaboration with cross-functional teams.

Qualifications

• 5+ years experience as a Data Architect focusing on complex data architecture.
• Hands-on expertise in relational and NoSQL database systems.
• Strong knowledge of data governance concepts.

Responsibilities

• Architect solutions for complex data challenges.
• Lead code reviews and ensure quality throughout project lifecycle.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

Expertise in AWS, Azure, GCP

Strong SQL skills

Python skills

Data modeling tools

Communication skills

Problem-solving skills

Agile experience

Education

Bachelor's or master's degree in computer science or related field

Tools

SAP PowerDesigner

Erwin Data Modeler

Tableau

Microstrategy

Job description

Location: Chicago, IL / Denver, CO (Onsite)

Job Type: W2 - Submitted to client payroll

Visas Accepted: H4-EAD, GC-EAD, GC, USC, L2S

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

IT Services and IT Consulting

Qualifications and Experience

• Expertise in major cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP)
• Hands on experience working with or implementing data fabric technology (Starburst)
• Working knowledge of the Open Cybersecurity Schema Framework (OCSF)
• Bachelors or master’s degree in computer science, Information Technology, or related field. Or equivalent experience.
• 5+ years proven experience as a Data Architect or similar role with a focus on designing and implementing complex data architecture.
• Strong knowledge of data management principles, data modeling techniques and data integration patterns.
• In-depth understanding of data security, data privacy, and data governance concepts.
• Hands on experience with data modeling tools (SAP PowerDesigner, Erwin Data Modeler), database management systems, big data environments and ETL tools.
• Excellent problem-solving skills and the ability to analyze complex data related challenges.
• Strong communication and collaboration skills to work effectively with cross‑functional teams.
• Project management experience with the ability to handle multiple initiatives concurrently.
• 5-10+ years experience in relational and dimensional data modeling as well as metadata build and management.
• Hands on expertise in relational and NOSQL database systems. Strong SQL and Python skills are a must.
• Thorough understanding of real time, batch, and event‑based data provisioning.
• Hands on experience in ETL/ELT and API based data provisioning patterns.
• Needs to be a skilled communicator with tools like Visio, PowerPoint, and be able to quickly put together and present ideas to large groups clearly and effectively.
• Strong Excel skills experience working with large amounts of data, conducting analysis and present findings.
• Hands-on design and implementation experience with one/more of the following data tools:
• Databases: Relational, Warehouse, Graph, Key‑Value, Document, In‑Memory, Caching, Wide‑Column, Time‑Series, Ledger
• BI - Tableau, Microstrategy, metadata/lineage tools, Distributed Caching tools.
• In-depth understanding of Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards.
• 5+ years experience with Data Quality measurements/Scorecards, Control, Remediation along with Data reconciliation techniques.
• Able to independently architect solutions, lead code reviews and ensure quality throughout the life of each project.
• Experience working as part of the Agile team and using Agile SDLS tools.