Data Solution Architect

PropelSys Technologies LLC

Dallas, TX, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Cloud Computing Data Architecture Data Integration Extract Transform Load (ETL) Data Security Data Warehousing Distributed Systems Meta-Data Management Cloud Services SQL Databases Enterprise Data Management

+7 more

Cloud Platform System Azure Data Factory Microsoft Fabric Data Lakes Information Technology Data Management Azure Synapse Analytics

Job description

Lead end-to-end solution architecture for enterprise data platforms.
Define scalable, secure, and high-performing data and cloud architectures.
Translate business requirements into technical architecture and solution designs.
Define data integration, ingestion, transformation, governance, and consumption strategies.
Lead architecture reviews, technical design discussions, and architectural governance.
Collaborate with business stakeholders, product owners, engineering, and enterprise architecture teams.
Provide technical leadership and ensure architectural standards across delivery teams.

Requirements

We are seeking a strong Data Solution Architect / Solution Architect with 15+ years of IT experience to lead end-to-end solution architecture for enterprise data platforms and modernization initiatives.

The ideal candidate must have strong Pharmacy Benefit Management (PBM) experience along with Healthcare, Pharmaceutical, or Life Sciences domain expertise. Candidates should have significant experience with IT Services/Consulting companies; product-company-only backgrounds are not preferred., * 15+ years of overall IT experience with strong experience as a Solution Architect / Data Solution Architect / Enterprise Data Architect.

Mandatory: Pharmacy Benefit Management (PBM) experience.
Strong Healthcare, Pharmaceutical, or Life Sciences domain experience.
Experience designing enterprise-scale data platforms and cloud solutions.
Strong understanding of data architecture, data integration, ETL/ELT, SQL, data warehousing, APIs, and distributed systems.
Experience with Azure data/cloud technologies preferred.
Strong experience with architecture governance, data security, data quality, and compliance.
Excellent communication, stakeholder management, and technical leadership skills.

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