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Vinsys Information Technology Inc

Data Architect

Vinsys Information Technology Inc, Villa Park, Illinois, United States, 60181

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Data Architect

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Vinsys Information Technology Inc Location: Hybrid ONSITE In office MONDAY AND TUESDAY, remote other days -

Location: Hybrid ONSITE In office MONDAY AND TUESDAY, remote other days -

1 Renaissance Plaza, Oak Brook Terrace, Illinois

Duration:

6 months

Job Summary

The Senior Data Architect is responsible for designing, building, and overseeing the

deployment and operation of enterprise data architecture and business intelligence

solutions. This role defines the end use of data systems and creates blueprints for

developing, testing, and maintaining data platforms. The architect ensures the seamless

integration of structured and unstructured data from internal and external sources,

enabling advanced analytics, reporting, and decision-making capabilities.

This position plays a critical role in establishing data governance frameworks, metadata

management practices, and architectural standards that ensure data quality, security, and

compliance across the organization.

Key Responsibilities

Data Architecture & Engineering

Design and implement scalable data architectures that support enterprise-wide analytics

and reporting needs.

Lead the transformation of transactional (normalized) data into dimensional models (facts

and dimensions) using Kimball methodology.

Architect and manage the Enterprise Data Warehouse (EDW), including parent-child

relationships and data lineage.

Develop and maintain data pipelines using Azure Data Factory and Synapse pipelines to

move data from Data Lake to Synapse.

Design and implement Tabular models within Power BI Premium datasets and SSAS

environments.

Utilize SSIS for data extraction and transformation processes. Write efficient and optimized T-SQL and DAX code for data modeling and reporting.

Business Intelligence & Analytics

Lead the design and development of Power BI reports and dashboards to support business

decision-making.

Analyze external data sources and integrate them into the EDW. Collaborate with business stakeholders to translate requirements into technical

specifications and data models.

Ensure BI solutions align with business goals and deliver measurable value.

Governance & Standards

Define, select, and implement data governance and metadata management tools and best

practices.

Establish and enforce design standards, data quality rules, and assurance processes to

ensure compatibility and operability of data flows and storage.

Design and implement a security infrastructure that supports internal and external access

while maintaining compliance with data privacy regulations.

Review internal and external business and product requirements and recommend system

upgrades or changes to meet evolving data needs.

Leadership & Collaboration

Lead the full system development life cycle from requirements gathering to

implementation and support.

Work independently and collaboratively across cross-functional teams. Mentor junior data engineers and analysts on best practices in data architecture and

governance.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field. 8+ years of experience in building relational and dimensional data models using Kimball

methodology.

5+ years of experience in Power BI reporting and dataset development. 5+ years of experience working with Enterprise Data Warehouses and writing ETL

processes.

2+ years of experience with Azure Synapse pipelines. Strong proficiency in Microsoft SQL Server T-SQL, SSIS, and DAX. Experience designing and implementing Tabular models in Power BI Premium. Familiarity with Azure development platform and Data Lake architecture. Knowledge of Databricks is a plus. Excellent written and verbal communication skills. Strong documentation and multi-tasking abilities. Proven ability to gather requirements and estimate work effort.

Preferred Skills

Experience with data governance frameworks such as DAMA-DMBOK. Familiarity with data cataloging and metadata management tools (e.g., Azure Purview,

Collibra).

Understanding of regulatory compliance requirements (e.g., HIPAA, GDPR) as they relate

to data architecture.

Required Skills : Business Intelligence

Basic Qualification

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Vinsys Information Technology Inc by 2x Get notified about new Data Architect jobs in

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