Data Architect

Tranzeal, Inc.

United States

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Microsoft Azure Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Sharing Data Systems Data Warehousing

+14 more

IT Management Interoperability Power BI Software Engineering Tableau (Software) Snowflake Multi-Cloud Generative AI Microsoft Fabric Data Lakes Information Technology Data Management Data Pipelines Microservices

Job description

We are seeking a Senior Data Architect to design scalable, secure, and modern cloud-native data solutions. This role will partner with business and IT leadership to translate business needs into enterprise data architectures and technology roadmaps., * Design and architect end-to-end data platforms, including ingestion, ETL/ELT, storage, integration, analytics, and data consumption.

Define scalable cloud, lakehouse, data warehouse, and data lake architectures.
Establish standards for data integration, interoperability, governance, security, and data sharing.
Design data solutions supporting AI/ML, Generative AI, MCP, and advanced analytics.
Evaluate and recommend data technologies and platforms.
Provide architecture governance, design reviews, POCs, and technology assessments.
Partner with Enterprise Architecture, Data Engineering, Infrastructure, Application Development, vendors, and business teams.
Identify architectural risks, dependencies, and trade-offs.
Mentor architects and engineers and promote data architecture best practices.

Requirements

10+ years of modern cloud data architecture experience.
Bachelor’s degree in Computer Science or related field.
Strong experience with Snowflake, Matillion, Microsoft Fabric, Power BI, and Tableau.
Proven experience with data warehouses, data lakes, lakehouse architectures, data integration, and analytics platforms.
Strong Azure/cloud-native architecture experience; hybrid or multi-cloud experience is a plus.
Knowledge of ETL/ELT, APIs, microservices, data governance, security, privacy, quality, and compliance.
Experience translating business requirements into scalable data solutions.
Strong stakeholder management and communication skills.
Experience architecting data platforms for AI/ML and Generative AI use cases.