Director, Data Platforms and Operations

2 hours, 45 minutes ago
Full-time
Executive
DevOps and Infrastructure
Apryse

Apryse

Apryse, previously PDFTron, is a global leader in document processing technology, offering tools for document viewing, annotation, processing, and conversion. Their market-leading SDK drives digital transformation with advanced features like data extra...

Internet Software & Services
251-1K
Founded 1998
$71M raised

Description

  • Lead and grow the Data Engineering, Data Governance, and BI/Analytics teams.
  • Set priorities, workflows, quality standards, hiring plans, and resource allocation across the data organization.
  • Design and own the data platform architecture, including warehouse/lakehouse structure, schemas, and modeling standards.
  • Build, orchestrate, and maintain reliable pipelines into governed, analytics-ready data models.
  • Manage cloud data infrastructure, reliability standards, and cost optimization.
  • Own the BI strategy, centralized reporting, dashboards, self-service analytics, and role-based access controls.
  • Manage the data platform roadmap and translate business requirements into deliverable technical initiatives.
  • Serve as the primary technical liaison between data teams and business stakeholders.
  • Own the data layer for Apryse’s Glean implementation, including source connections, indexing, governance, access, quality, and security.
  • Partner with IT, AI, and Agent Builder teams to ensure AI tools and agents use trusted, governed data.

Requirements

  • Experience architecting and delivering enterprise-scale data platforms and pipelines, including orchestration and scheduling tools such as Azure, AWS, Databricks, or Apache Spark.
  • Strong SQL/DDL skills and working proficiency in Python or a similar language.
  • Experience with dimensional modeling, schema design, and hands-on ownership of a data warehouse or lakehouse; medallion architecture experience is preferred.
  • Track record building governed BI reports and dashboards using Tableau, Power BI, or similar tools.
  • Experience integrating and normalizing data from enterprise systems such as Salesforce or NetSuite.
  • Experience managing teams spanning data engineering, governance, and/or BI/analytics.
  • Ability to operate effectively as both a hands-on individual contributor and people leader.
  • Excellent communication skills and ability to represent the data platform to nontechnical stakeholders.
  • Experience with or strong interest in enterprise AI and knowledge tools such as Glean is preferred.
  • Background in high-growth companies, preferably those with acquisition-driven growth.
  • Must reside in an eligible U.S. state; the role is remote within the United States.

Benefits

  • Competitive compensation commensurate with experience and qualifications.
  • Company-paid health, dental, and vision coverage for employees and families.
  • Uncapped commission structure.
  • Generous paid time off.
  • Annual work-from-home allowance for home-office equipment.
  • Ongoing learning and professional development support.
  • Choice of Windows or Mac hardware.
  • Autonomous, entrepreneurial work environment with career growth opportunities.

Interested in this position?

Apply directly on the company website

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