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Director Data Platform Jobs (NOW HIRING)

AHEAD

Director, Data Platform

The Director, Data Platform will build and run AHEAD's Data Platform Team- a single, unified group accountable for every governed connection the enterprise exposes into its data domains. This is a ...

AHEAD

Director, Data Platform

Charleston, WV · Remote

$180K - $210K/yr

The Director, Data Platform will build and run AHEAD's Data Platform Team-- a single, unified group accountable for every governed connection the enterprise exposes into its data domains. This is a ...

Foodsmart

Director, Data Platform

OR · Remote

$200K - $225K/yr

We are seeking a Director of Data Platform to take end-to-end ownership of our data lifecycle: from the moment information lands in our warehouse to its final modeling and delivery to the ...

Foodsmart

Director, Data Platform

We are seeking a Director of Data Platform to take end-to-end ownership of our data lifecycle: from the moment information lands in our warehouse to its final modeling and delivery to the ...

Foodsmart

Director, Data Platform

We are seeking a Director of Data Platform to take end-to-end ownership of our data lifecycle: from the moment information lands in our warehouse to its final modeling and delivery to the ...

Polymarket

Director, Data Platform

New York, NY · On-site

About the Role Polymarket is hiring a Director of Data Platform to build and scale the foundation that powers every decision across the company. You'll lead the teams responsible for our data ...

Gap Inc.

Director - Data Platform

Coppell, TX

About the role In this role, you will direct software development, delivery and support efforts of ... Expert knowledge of complex software languages and platforms such as Java, Oracle, Azure etc. and ...

Gap Inc.

Director - Data Platform

San Francisco, CA

About the role In this role, you will direct software development, delivery and support efforts of ... Expert knowledge of complex software languages and platforms such as Java, Oracle, Azure etc. and ...

Gap, Inc.

Director - Data Platform

Coppell, TX · On-site

About the Role In this role, you will direct software development, delivery and support efforts of ... Expert knowledge of complex software languages and platforms such as Java, Oracle, Azure etc. and ...

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Director Data Platform information

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$52K

$128.5K

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How much do director data platform jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data platform in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a director data platform do?

A Director of Data Platform is responsible for leading the strategy, architecture, and management of an organization's data infrastructure. They oversee teams that build and maintain data platforms, ensure data quality and security, and enable data-driven decision making across the company. The role requires close collaboration with engineering, analytics, and business teams to support current and future data needs. Additionally, they evaluate new technologies and ensure the data platform scales with business growth.

What are the key skills and qualifications needed to thrive as a director data platform, and why are they important?

To thrive as a Director Data Platform, you need deep expertise in data architecture, data engineering, and analytics, usually backed by a degree in computer science or a related field and significant leadership experience. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data tools (such as Hadoop or Spark), and data governance frameworks is critical, along with certifications in cloud or data management. Exceptional strategic thinking, communication, and stakeholder management help drive cross-functional alignment and innovation. These capabilities ensure robust, scalable data infrastructures that support business goals and enable data-driven decision-making.

What are the main challenges a director data platform faces when scaling data infrastructure for a growing organization?

A Director of Data Platform often faces challenges related to balancing scalability, performance, and cost efficiency as the organization grows. Ensuring data security and compliance across multiple systems, integrating diverse data sources, and maintaining high data quality can be complex, especially as teams and data volumes expand. Additionally, the role requires close collaboration with engineering, analytics, and business teams to align the data platform with evolving business needs and to foster a data-driven culture. Proactive communication, strategic planning, and continuous learning are key to overcoming these hurdles.

What is the difference between Director Data Platform vs Data Engineer?

AspectDirector Data PlatformData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in Computer Science, Data Science, or related fields; leadership experienceBachelor's or Master's in Computer Science, Data Engineering, or related fields; certifications like AWS, Google Cloud, or Azure are common
Work EnvironmentLeads teams, oversees data platform architecture, strategic planning, and cross-department collaborationBuilds, develops, and maintains data pipelines, databases, and ETL processes
Industry UsageCommonly found in organizations with large-scale data needs, overseeing data infrastructureHands-on role in data processing, often working closely with data scientists and analysts

The Director Data Platform focuses on strategic leadership, architecture, and team management of data infrastructure, while Data Engineers are more involved in the technical development and maintenance of data pipelines and systems. Both roles are essential but differ in scope and responsibilities.

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Director Data Platform jobs near you
Infographic showing various Director Data Platform job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Director, Data Platform

AHEAD

Remote

Full-time

Posted 19 days ago

Job description

The Director, Data Platform will build and run AHEAD's Data Platform Team- a single, unified group accountable for every governed connection the enterprise exposes into its data domains. This is a build-and-run leadership role: the Director will stand up the team, the platform, and the operating model simultaneously, then own it on an ongoing basis.
The platform model centers on one governed connection per data domain - exposed as an MCP server, API, direct SQL connection, or event stream - with two backend lanes behind every connection: a read lane serving curated, AI- and analytics-ready data products, and an operational lane serving approved enterprise actions and event-driven integration back into source systems. The Director owns both lanes, the connection layer that unifies them, the access model that determines what any caller - person, application, AI agent, or integration pipeline - is permitted to do, and the event streaming infrastructure that powers domain-event-driven consumers such as Hatch.
This is a hands-on architectural and operational leadership role. The Director will be the senior-most technical authority on Snowflake, data governance, platform access and authorization, FinOps, ingestion, medallion architecture, data product publishing, and event
High-Level Responsibilities
The Director owns seven core pillars of the Data Platform Team, plus the event streaming and messaging infrastructure that is essential for integration-pipeline and event-driven consumers:
1. Snowflake Ownership
  • Own the target-state Snowflake architecture: data organization, storage patterns, warehouse and workload segmentation, performance optimization, and lifecycle management.
  • Set platform-wide standards for environments, security model, scalability, and operational resilience.
  • Serve as the senior-most technical authority on Snowflake within the enterprise, with deep hands-on credibility.

2. Data Governance
  • Own the enterprise data governance vision, operating model, and leadership cadence - embedded into platform delivery and operations, not run as a disconnected compliance function.
  • Lead the governance agenda across ownership, stewardship, quality, metadata, lineage, cataloging, retention, classification, and policy enforcement.
  • Hire and lead a Data Governance leader reporting into this role, while retaining accountability for enterprise data policy, standards, and outcomes.
  • Design governance controls that support AI and agent-based consumption: policy-aware access, auditability of actions, appropriate use of sensitive data, and traceability of context.

3. Data Platform Auth, Use Cases, and Access
  • Own the access-rights model that governs every domain connection: who can read, who can write, who can subscribe to event streams, and under what scope - by role, by application, and by AI agent.
  • Define and enforce authentication and authorization standards at the connection layer, ensuring every call is identified, scoped, and audited regardless of which backend lane serves it.
  • Own the catalog of domain connections and the self-service model that lets consumers discover what they can access and request what they cannot.
  • Partner with Security to ensure access governance, policy enforcement, and use-case approval processes scale with the number of domain connections and consumers.

4. FinOps
  • Own platform cost governance for Snowflake and the surrounding data estate: budgeting, spend visibility, showback/chargeback policy, and optimization guardrails.
  • Establish unit economics and cost-per-workload visibility so platform investment decisions are made with full cost transparency.
  • Drive continuous cost optimization without compromising performance, reliability, or governance standards.

5. Ingestion
  • Own the standards and patterns for data ingestion into the platform: batch, CDC, streaming, and event-driven sources.
  • Define source onboarding standards, schema change handling, and replay/backfill patterns.
  • Ensure ingestion patterns scale cleanly as new domains and source systems are added to the platform.

6. Medallion Architecture
  • Own the Bronze - Silver - Gold processing model: raw retention, cleansing and conformance, and product-ready modeling.
  • Set transformation standards, testing practices, and reconciliation processes across all medallion layers.
  • Ensure the medallion architecture is the consistent foundation underneath every domain connection's read lane, regardless of who contributed the underlying product.

7. Data Product Publishing and Documentation
  • Own the end-to-end lifecycle for data products: intake, build, review, publication, change control, and retirement.
  • Establish documentation standards so every published product has a clear owner, contract, SLA, classification, and lineage.
  • Build and run the federated contribution model: approved domain teams can build and submit read-side data products; the core team reviews, scales, and promotes them into the shared catalog while retaining final editorial control over what gets published.
  • Drive platform-wide discoverability and self-service consumption so published products are easy to find, understand, and adopt.

8. Event Streaming and Messaging Infrastructure
In addition to the seven pillars above, the Director owns the event streaming and messaging layer that powers integration-pipeline and event-driven consumers:
  • Own the domain event streaming infrastructure - the platform through which consumers subscribe to governed domain events rather than polling source systems directly. Current infrastructure includes MuleSoft
  • Establish event contracts as a first-class element of every domain connection: schemas, topic naming, retention policies, ordering guarantees, and access rights are governed at the connection level
  • Ensure event streams feed the read lane's ingestion pipelines as a governed push-based delivery mechanism into the medallion stack
  • Partner with integration platform owners and application teams to migrate from point-to-point event wiring toward governed, domain-aligned event contracts under this team's stewardship.

Additional Duties and Leadership Scope
  • Build the Data Platform Team: recruit, structure, and lead a high-performing organization spanning platform engineering, data governance, data product delivery, and event infrastructure.
  • Define and own the architecture for unified domain connections - one governed connection per data domain, exposing curated reads, operational reads, governed write actions, and event stream subscriptions through a single contract consumers integrate to.
  • Design the platform to support both analytical and operational use cases, enabling trusted historical insight while supporting the real-time, entity-specific access patterns required for AI agents, automated workflows, and event-driven integration pipelines.
  • Architect governed write-back patterns and event emission patterns that allow downstream systems, workflows, or AI agents to act safely on platform data, with full auditability and scoped access rights.
  • Partner with Engineering, Architecture, Product, and Security to ensure the platform is resilient, trusted, extensible, and aligned to enterprise priorities.
  • Build a platform operating model that balances central ownership with federated, domain-aligned contribution - enabling teams to move quickly without compromising governance or architectural integrity.
  • Establish platform engineering standards for performance, resilience, monitoring, incident response, disaster recovery, and service-level expectations across all connection modes: direct SQL, API, MCP, and event stream.
  • Own the platform roadmap across foundational build-out, Snowflake optimization, governance maturity, event streaming infrastructure, and future-facing capabilities that support AI-driven workflows.
  • Provide strong cross-functional leadership and executive communication, translating platform decisions into business impact, delivery tradeoffs, and investment priorities.

Education and Experience
  • Bachelor's degree or equivalent experience.
  • 12 or more years of experience in data engineering, platform engineering, data architecture, or related technology roles.
  • At least 5 years in a leadership role with responsibility for platform strategy, architecture, and engineering team leadership - including building a team or function from the ground up.
  • 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/cost governance.
  • Experience designing and running data governance programs: ownership, stewardship, quality, metadata, lineage, cataloging, classification, and policy enforcement.
  • Experience designing access and authorization models for data platforms, including role-based, application-based, and AI-agent access patterns.
  • Experience designing data ingestion patterns across batch, CDC, and streaming sources, and medallion-style (Bronze/Silver/Gold) processing architectures.
  • Experience with event streaming and messaging infrastructure - e.g. Kafka, MuleSoft, or equivalent - including event schema governance, topic design, retention policy, and integration with data platform ingestion pipelines.
  • Experience building data product publishing programs, including documentation standards, catalog design, and self-service consumption models.
  • Experience building or enabling platforms that support AI, intelligent automation, or agent-based workflows.
  • Experience designing governed write-back or operational integration patterns that allow downstream systems, workflows, or agents to act safely on platform data.
  • Strong executive communication and stakeholder management skills, with the ability to align technical architecture decisions to business value.

$180,000 - $210,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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