Overview
On Site
Contract - W2
Skills
Video
Financial services
Strategy
Business cases
Migration
Data Lake
Data flow
Continuous integration
Continuous delivery
Cloud computing
Management consulting
Vendor relationships
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Snow flake schema
Databricks
Informatica
Management
Data architecture
Facets
Data
Analytics
Design
Leadership
Machine Learning (ML)
Data Science
Use cases
Sales
Job Details
Title: Cloud Architect
Location: (1)DC (1)NYC- Onsite
Duration: 6 Months CTH
2 rounds of Video Interview
Qualifications
Responsibilities
Location: (1)DC (1)NYC- Onsite
Duration: 6 Months CTH
2 rounds of Video Interview
Qualifications
- 15+ Years of experience working as a solution architect in the data space
- 10+ Years of experience in Financial Services
- Experience partnering with CDO/CDAO in helping shape their data strategy
- Experience building business case for Cloud migration/modernization
- Must have presented at industry conferences and or published whitepapers
- Expertise in defining, architecting, and delivering data and analytics solutions on AWS, Google Cloud Platform, or Azure cloud, as well as experience with Snowflake or Databricks platforms, and other related platforms and services
- Extensive depth in Data Lake and Lakehouse implementations and architecting data flows
- Experience developing and deploying solutions with infrastructure as code, following best practices and integrating with robust CI / CD pipelines
- Experience with hybrid cloud systems, integrating on premise resources and cloud platforms
- Management Consulting experience is a Plus
Responsibilities
- Maintain vendor relationships with (AWS, Google Cloud Platform, Azure, Snowflake, Databricks, Informatica, and other related platforms and services)
- Recruit and manage high performing data architecture team
- Be a technical leader on the Data and Analytics team, working to shape comprehensive solutions encompassing all facets of complex data and analytics systems and infrastructure
- Communicate architecture and design decisions effectively to both technical and non-technical audiences, gathering buy in from client stakeholders and other partners
- Lead and participate in solutioning sessions, working hand-in-hand with business / client, translating business objectives into actionable machine learning / data science use case
- Builds and develops relationships with technology partners and owns joint sales pursuits
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