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Data Management Architect

The Brixton GroupUnited States🇺🇸United States

Quick overview

Salary$175k/yr
SeniorityMid Senior
Work modeHybrid
LocationUnited States
AWSSnowflakeDatabricksGoogle CloudAzure

Job description

Employment Type: Permanent/Direct Hire
Compensation: $175k base/yr + Bonus & Benefits
Location: Remote
Job Overview:

Join a global AI-first consultancy where strategists, designers, technologists, and engineers collaborate to deliver transformative AI-powered business solutions. This role requires expertise in data management and architecture, with responsibilities including architectural solution development, client engagement, and team leadership. The position involves collaborating with industry-leading talent to create innovative solutions tailored to client needs.
Responsibilities:
  • Lead pursuit teams and client engagements as a Data Subject Matter Expert.
  • Plan and lead workshops with client teams to understand current landscape, requirements, constraints and map to the latest technology products and platforms to come up with future architecture
  • Create phased implementation roadmaps from scope and resources perspectives
  • Articulate complex architectures to a variety of client teams, both technical and non-technical and build consensus among varying
  • Learn new technologies and platforms quickly and keep experience relevant to clients' needs
  • Lead teams based off global locations in multiple time zones
  • Take ownership of solutions and teams
Preferred Qualifications:
  • Minimum of 10 years of relevant professional experience
  • Strong experience in latest data trends and associated technologies including, but not limited to, Data Quality, Data Catalog, Data Lineage, Master Data Management
  • Familiarity with Data Governance Concepts - Policies, Procedures, Operating Models, Runbooks etc.
  • Expertise in building solutions from scratch as well as modernizing legacy architectures
  • Strong experience with data modeling in various industries
  • Expertise in at least two hyperscaler technologies - AWS, Azure, Google Cloud Platform
  • Familiarity in cloud-based data warehouse and/or lakehouse technology platforms such as Snowflake, Databricks etc.
  • Ability to communicate complex solutions to technical and non-technical users at various levels - typically department directors to C-Suite
  • Experience with both on-premises and cloud technologies and platforms
  • Expertise architecting solutions with multiple disciplines - performance, scalability, security
  • Crisp and clear communication - both verbal and written
  • Ability to create strong presentations using various tools
  • Knowledge of up-and-coming AI tools and technologies and industry trends
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution
  • Familiarity with AI-enhanced platforms is a plus
  • A solid understanding of AI capabilities and limitations including ethical considerations is expected
  • Travel up to 25%
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