Director, Data Platform

Job not on LinkedIn

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Thinkahead Consultant Psychologist Pty Ltd

Thinkahead Consultant Psychologist Pty Ltd

1 - 10 employees

🏥 Healthcare

💼 Consulting

📚 Education

Healthcare • Consulting • Education

Thinkahead Consultant Psychologist Pty Ltd is a privately owned psychology firm that operates in both the clinical and corporate consulting spaces. In the clinical setting, they provide psychological assessment and interventions to individuals, children, couples, and families, collaborating with local GPs and health organizations. In the corporate arena, Thinkahead partners with organizations to facilitate transformation and enhance performance through corporate wellbeing initiatives, leadership development, coaching, and culture enhancement programs. Their approach combines psychological principles with innovative business strategies to create constructive work cultures and high-performing teams.

📋 Description

• Build and run AHEAD’s unified Data Platform Team, platform, and operating model • Own governed domain connections exposing curated reads, operational actions, and event-stream subscriptions • Own Snowflake architecture, security, workload management, performance optimization, lifecycle management, and resilience • Lead enterprise data governance across ownership, stewardship, quality, metadata, lineage, cataloging, retention, classification, and policy enforcement • Define authentication, authorization, access rights, self-service discovery, and use-case approval processes • Own FinOps, budgeting, spend visibility, chargeback/showback policy, unit economics, and cost optimization • Establish ingestion standards for batch, CDC, streaming, and event-driven sources • Own Bronze–Silver–Gold medallion architecture, transformation standards, testing, and reconciliation • Manage the data product lifecycle, documentation, catalog, federated contribution model, discoverability, and self-service consumption • Own event streaming and messaging infrastructure, event contracts, schemas, topics, retention, ordering, access rights, and integration with ingestion pipelines • Recruit, structure, and lead teams spanning platform engineering, data governance, data products, and event infrastructure • Architect governed write-back and event-emission patterns for systems, workflows, and AI agents • Partner with Engineering, Architecture, Product, Security, and application teams • Establish standards for monitoring, incident response, disaster recovery, service levels, and platform resilience • Own the roadmap and communicate architecture decisions, tradeoffs, business impact, and investment priorities to executives

🎯 Requirements

• 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 responsible for platform strategy, architecture, and engineering team leadership, including building a team or function from the ground up • Experience architecting and operating modern enterprise data platforms in cloud environments • Strong hands-on Snowflake experience covering platform design, performance optimization, security, workload management, and FinOps/cost governance • Experience designing and running data governance programs covering ownership, stewardship, quality, metadata, lineage, cataloging, classification, and policy enforcement • Experience designing data-platform access and authorization models for role-based, application-based, and AI-agent access • Experience with batch, CDC, and streaming ingestion patterns and Bronze/Silver/Gold processing architectures • Experience with event streaming and messaging infrastructure such as 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, documentation standards, catalog design, and self-service consumption models • Experience building or enabling platforms supporting AI, intelligent automation, or agent-based workflows • Experience designing governed write-back or operational integration patterns • Strong executive communication and stakeholder management skills • Ability to align technical architecture decisions to business value

🏖️ Benefits

• Salary of $180,000–$210,000 per year • Remote work arrangement

Apply Now

Similar Jobs

🔥 6 hours ago

Montera Infrastructure

1 - 10

🏗️ Construction

📦 Logistics

🚀 Aerospace

Principal Controls Engineer defining fleet-wide BMS, SCADA, and DCIM standards for Montera’s hyperscale data centers. Governing customer telemetry exposure, OEM integrations, commissioning, and AI-driven operational optimization.

🔥 8 hours ago

Guidehouse

10,000+ employees

🏥 Healthcare

🎖️ Defense

📦 Logistics

Data Engineer building scalable pipelines, ETL processes, and cloud solutions for Guidehouse. Supporting analytics, modernization, and government-sector technology programs.

🕒 3 days ago

Prealize Health

11 - 50

🏥 Healthcare

🤖 Artificial Intelligence

Staff Data Scientist leading development of next-generation healthcare foundation models at Prealize Health. Bridging high-level research and real-world healthcare applications with technical leadership.

🇺🇸 United States – Remote

💵 $170k - $200k / year

💰 $7.3M Venture Round on 2022-12

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🕒 3 days ago

CPI Card Group

1001 - 5000

💼 Consulting

📣 Marketing

📦 Logistics

Director of Data Engineering leading CPI Card Group's cloud-native data platform initiatives. Responsible for team leadership, platform operations, and technical direction in a payment technology company.

🕒 3 days ago

Quantiphi

1001 - 5000

💼 Consulting

🏥 Healthcare

📦 Logistics

Lead architectural vision for a modern data layer at an AI-first digital engineering company. Ensure data integration and performance for complex AI applications.