Eleven Recruiting ยท 5 months ago
VP, Senior Data Architect
Eleven Recruiting is a specialized technology staffing agency supporting professional and financial services companies. They are seeking a VP, Senior Data Architect to join their client, an investment firm, in Los Angeles, CA. The role involves presenting technology architecture, conducting assessments for analytics organizations, and providing thought leadership on modern analytics tools and platforms.
ConsultingRecruitingStaffing Agency
Responsibilities
Present technology architecture and solution overviews to executive-level audiences
Conduct assessments and define enterprise roadmaps for enabling a data-driven Analytics organization
Provide thought leadership around modern analytics tools and platforms for mid-sized companies to Fortune 500s
Participate in the development of Database Architecture and Roadmaps in support of business strategies
Develop DW Standards for Enterprise including Database, ETL and Reporting Standards to be used in development projects on DW Platform
Data Modeling (Logical, Physical), translating business processes and requirements to data pipelines and flows
Data Catalog and data dictionary construction
Design and implement scalable and secure data models using Azure SQL Database, Azure Data Lake Storage, and Azure Syponse. Finding and using the right technology for the right purpose
Develop and maintain data architecture blueprints, ensuring alignment with business requirements and industry best practices
Collaborate with data engineers to design efficient data pipelines, leveraging Azure Data Factory for data ingestion, transformation, and movement
Evaluate and recommend appropriate Azure data storage solutions based on data characteristics, performance requirements, and cost considerations
Contribute to the development and enforcement of data governance policies, including data quality standards, metadata management, and data security protocols within the Azure environment
Stay informed about emerging technologies and trends in data architecture, evaluating their potential impact and applicability to firm's data strategy
Qualification
Required
Bachelor's degree in Computer Science, Finance, or other relevant discipline
10+ years of experience in data and analytics space and 8+ years of experience in job specific work
Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions
Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark)
Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data)
Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams