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Eleven Recruiting · 5 months ago

SVP, Head of Data Engineering

United States

Full-time

Remote

Director/Executive

$0/yr - $400K/yr

15+ years exp

Eleven Recruiting is a specialized technology staffing agency supporting professional and financial services companies. They are seeking a Senior Vice President of Data Engineering to establish and govern a data governance implementation roadmap, lead a team of data engineers, and define a comprehensive data strategy aligned with the firm's business objectives.

ConsultingRecruitingStaffing Agency

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

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

Qualification

Data EngineeringAzure Tech StackData GovernanceData WarehousingData LakeAsset Management KnowledgeIndependence & CollaborationFlexibility & OrganizationIntellectual CuriosityDriving ResultsJudgmentRelationship BuildingCommunicationWork Ethic

Required

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