SVP, Head of Data Engineering

Get AI-powered advice on this job and more exclusive features. 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 Senior Vice President of Data Engineering to join their team in Los Angeles, CA! Responsibilities: Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities. Roll out a data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's principal information assets. Design a data engineering roadmap and execute the vision behind it. Oversee the movement of large amounts of data into our data lake. Define and execute a comprehensive data strategy aligned with firm's business objectives, delivering measurable ROI. Lead the vision, development, and delivery of scalable, reusable, and trusted data products to meet cross-functional needs. Partner with stakeholders to ensure data solutions enable decision-making, operational efficiency, and long-term value. Technical Responsibilities: Manage a team of data engineers and architects to build modern tech solutions in Azure tech stack. Architect, design, and implement a robust and scalable data architecture on Microsoft Azure to support firm's investment data management needs. Oversee the development and maintenance of data pipelines using Azure Data Factory, orchestrating data ingestion, transformation, and loading processes across various sources. Utilize Azure Databricks or similar Azure tech stack to build and manage data processing and analytics workloads, leveraging Apache Spark for large-scale data transformations. Design and implement data warehousing solutions using Azure Synapse Analytics, enabling efficient storage, analysis, and reporting on vast amounts of investment data. Optimize data storage strategies across Azure Data Lake Storage, Azure SQL Database, and Synopse, ensuring data security, integrity, and cost-effectiveness. Collaborate with data scientists to implement Azure Machine Learning and AI solutions, driving insights from investment data and enhancing decision-making processes. Establish and enforce data governance policies and procedures, including data quality management, metadata management, and data lineage tracking within the Azure environment. Collaborate with and communicate current state and future state architectures with the stakeholders. Stakeholder and partner management. Qualifications: Bachelor's degree in Computer Science, Finance, or other relevant discipline. 15+ years of experience in data and analytics space and 10+ 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. Seniority level

Seniority level Executive Employment type

Employment type Full-time Job function

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