Hello Connections,
We are looking for a "Senior Azure Data Architect ---New York City, NY(Hybrid 3 Days a Week)"
Below is the JD for review
Mandatory Skills: Data Architecture, Cloud, Azure, Azure Fabric, ADF
Location: New York City, NY (1211 6th Ave #4100, New York, NY 10036) – Hybrid Role
Long Term/W2
Job Description and required skills:
- 10 to 12 years of overall IT experience with designing architecture, analytics, and data pipeline
- Experience with various data architecture patterns and implementation experience as an architect.
- 5+ years of experience as Data Architect for Azure cloud-based solutions
- Must have Azure Fabric experience with deep understanding of the involved architecture, "One Lake" construct, etc
- Solid experience in cloud-based data platforms and services, involved architecture patterns / choices, cost / performance trade-offs, etc
- Ability to communicate effectively with Business users, IT stakeholders, and architects
- Prior experience in Mortgage/banking industry preferred
Exclude Skills: Experience in Building ETL and data pipelines in a Data Engineer
Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:
- Flexibility for you to work in-office, hybrid or remote
- Medical and Dental Premiums
- Startup culture with opportunity to grow
- Performance bonuses
- Health, dental and vision insurance plans
- Pursue growth and learning with career development expenses
Top Skills
What We Do
Driving Innovation through Advanced Data and AI Services.
We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.
To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:
01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases
02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud
03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment
