Senior Data Architect - Data Lake & Analytics Lead (NYC)

brightvisiontechnologies; City of Albany (NY); On-site; USD 96,000 - 138,000; Full time

Job summary

Bright Vision Technologies is seeking a Senior Data Architect to lead enterprise-scale Data Lake, Data Analytics, and Data Strategy initiatives in NYC. The role focuses on architecture roadmaps, data platforms, and collaboration with business and technology stakeholders.

Candidates should have 10+ years of experience and hands-on work with Databricks and/or AWS to design scalable data solutions and reference architectures across multiple program workstreams.

Qualifications

• 10+ years of experience in data architecture and related fields.
• Experience designing enterprise-scale data solutions.
• Strong ability to translate business requirements into scalable architectures.
• Hands-on experience with Databricks and AWS.

Responsibilities

• Elicit and analyze data-related goals and requirements from stakeholders.
• Create and maintain a comprehensive data architecture roadmap for the program.
• Design and implement a scalable Data Lake and Analytics Reference Architecture.
• Oversee the data implementation planAcross three primary workstreams.
• Develop reporting and analytics products to support business needs.
• Create an implementation framework enabling multiple workstreams to share data products.
• Deliver end-to-end data solutions from gathering to deployment and support.
• Produce architecture documentation including models, diagrams, specs, and standards.
• Develop roadmaps and plans aligned with business objectives.
• Collaborate with cross-functional teams to ensure delivery.

Skills

Data Architecture

Data Engineering

Data Lake

Data Analytics

Data Strategy

Tools

Databricks

AWS

Job description

Bright Vision Technologies is seeking a Senior Data Architect to lead enterprise-scale Data Lake, Data Analytics, and Data Strategy initiatives in NYC. The role focuses on architecture roadmaps, data platforms, and collaboration with business and technology stakeholders.

Candidates should have 10+ years of experience and hands-on work with Databricks and/or AWS to design scalable data solutions and reference architectures across multiple program workstreams.