Director, Data Platform

1 hour ago
Full-time
Lead
DevOps and Infrastructure
AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised

Description

  • Build and lead the Data Platform Team across platform engineering, data governance, data product delivery, and event infrastructure.
  • Own the target-state Snowflake architecture, including data organization, storage patterns, workload segmentation, performance, security, and lifecycle management.
  • Lead enterprise data governance, including ownership, stewardship, quality, metadata, lineage, cataloging, retention, classification, and policy enforcement.
  • Define and enforce platform access, authentication, and authorization models for users, applications, AI agents, and integration pipelines.
  • Own the catalog of domain connections and the self-service model for discovering, requesting, and approving access.
  • Establish platform cost governance for Snowflake and the broader data estate, including budgeting, visibility, showback/chargeback, and optimization.
  • Own ingestion standards and patterns across batch, CDC, streaming, and event-driven sources.
  • Own the Bronze/Silver/Gold medallion processing model and its transformation, testing, and reconciliation standards.
  • Own the end-to-end data product publishing lifecycle, including intake, review, publication, change control, retirement, and documentation.
  • Own the event streaming and messaging infrastructure that supports governed domain-event consumption and integration-pipeline workflows.

Requirements

  • Bachelor’s degree or equivalent experience.
  • 12+ years of experience in data engineering, platform engineering, data architecture, or related technology roles.
  • 5+ years in a leadership role with responsibility for platform strategy, architecture, and engineering team leadership, including building a team or function from scratch.
  • Demonstrated experience architecting and operating modern enterprise data platforms in cloud environments.
  • Strong hands-on experience with Snowflake, including platform design, performance optimization, security, workload management, and FinOps.
  • Experience designing and running data governance programs.
  • Experience designing data access and authorization models, including role-based, application-based, and AI-agent access patterns.
  • Experience with batch, CDC, and streaming ingestion patterns and medallion-style (Bronze/Silver/Gold) architectures.
  • Experience with event streaming and messaging tools such as Kafka, MuleSoft, or equivalent.
  • Experience building data product publishing programs, self-service consumption models, and platforms that support AI, automation, or agent-based workflows.

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