About Eleven Recruiting We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, an investment firm, is seeking a VP, Senior Data Architect to join their team in Los Angeles, CA!

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.

Technical Responsibilities: 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.

Qualifications: 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.

Personal Attributes: Relationship Building: works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication: strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration: experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic: focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization: adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity: energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results: sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment: makes recommendations and decisions that balance a variety of factors.