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PitchBook · 1 day ago

Director of Engineering, Enterprise Data Platform

Seattle, WA

Full-time

Onsite

Senior Level, Lead/Staff

$240K/yr - $290K/yr

10+ years exp

PitchBook, a Morningstar company, is seeking a Director of Engineering for their Enterprise Data Platform. This role involves leading data product development and engineering efforts, ensuring a robust and scalable data infrastructure that aligns with strategic objectives while fostering a culture of collaboration and continuous learning.

AnalyticsFinanceVenture Capital

Culture & Values

No H1B

Responsibilities

Drive the strategic vision and roadmap for the enterprise data platform, ensuring alignment with business goals and technology initiatives

Lead and mentor a high-performing team of data product managers and data engineers, fostering a culture of collaboration, continuous learning, and excellence in delivery. Provide guidance and support to ensure team growth and success, empowering them with autonomy and ownership

Oversee the development of internal data products, expertly modeled, abstracted, and unified from source datasets, able to be referenced by and democratized throughout PitchBook as single sources of truth for trusted downstream analytics

Oversee the design and management of complex ETL/ELT pipelines, ensuring efficient data ingestion, transformation, and storage to support real-time and batch processing

Leverage modern cloud-based technologies (e.g., Snowflake or equivalent) to ensure optimal data storage and accessibility, focusing on high performance and cost-effectiveness

Lead the adoption and integration of event streaming and messaging platforms (e.g., Kafka), enhancing data processing and real-time analytics capabilities

Implement and maintain best practices in data governance, quality, security, and compliance to meet internal and external regulatory requirements. Oversee company-wide data ontology, provenance, and observability capabilities for enterprise data

Ensure that our data platform is robust, optimized, and seamlessly integrated. Lead efforts to enhance system performance, drive innovation, and implement scalable solutions that align with the company’s strategic objectives

Leverage your strong background in data platforms, data engineering, and cloud technologies to drive the technical direction of our data infrastructure. Ensure the adoption of best practices in data processing, cloud-native delivery, and automation

Work closely with Product, Engineering, and Business teams to align engineering efforts with business goals. Translate complex technical concepts into actionable business strategies to drive impactful change

Oversee the integrity of data systems and ensure high standards of performance, reliability, and security in the systems developed by your team. Vigilantly identify and resolve impediments, ensuring projects are delivered on time and within scope

Drive innovation within the data platform. Continuously seek opportunities to improve processes, tools, and systems, ensuring our technology remains at the cutting edge

Play a key role in hiring, training, and retaining top engineering talent. Set a high bar for performance, create opportunities for professional growth, and cultivate an environment where team members feel valued and motivated

Establish and drive a culture rooted in belonging, psychological safety, candor, connection, cooperation, and fun. Solicit feedback, engage with empathy, and build strong relationships across the organization to foster an environment where innovative ideas can thrive

Apply Agile, Lean, and principles of fast flow to enhance team efficiency and productivity

Model and encourage desired behaviors to support the company’s vision and values. Participate in various company initiatives and projects as requested

Qualification

Data engineeringCloud-based data platformsData product managementAnalytics engineeringData modelingPythonSQLETL/ELTAgile practicesLeadership skillsCommunication skillsProblem-solving skillsCollaboration skillsMentoring

Required

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

10+ years of experience in data engineering with deep experience in data platform management, data product management, analytics engineering, and data modeling

7+ years in an engineering leadership role with direct management responsibilities of at least 5 people

3+ years in an engineering leadership role managing managers

Strong leadership skills with experience managing and mentoring engineering teams

Expert-level skills in Python and SQL

Deep understanding of cloud-based data platforms (e.g., Snowflake) and related technologies, including data processing frameworks and messaging platforms

Experience with containerization technologies, including Kubernetes and Docker, and an understanding of cloud-scale delivery, including scalability, resiliency, and recoverability

Experience with data architecture across highly scalable, distributed systems

Solid understanding of software development methodologies, Agile practices, and DevOps principles

Excellent problem-solving skills with a focus on innovation, efficiency, and scalability

Strong communication and collaboration skills, with the ability to effectively engage with stakeholders at all levels of the organization

Must be authorized to work in the United States without the need for visa sponsorship now or in the future