Director of Engineering
Colibri Group
Amazon RedshiftAWSCloudERPETLPythonSDLCSQL
Head of Data and AI Platform
Industrious
full-time
Posted on:
Location Type: Office
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $230,000 per year
Job Level
Lead
Tech Stack
Amazon RedshiftETL
About the role
- Define and evangelize a compelling vision for an AI-native data ecosystem and connect infrastructure to business outcomes
- Partner with the ELT and department leaders to translate business strategy into data requirements
- Architect strategy for company-wide data fluency and natural-language access to data
- Lead design and implementation of a modern, scalable, and reliable data stack (current tools include Looker Pro, Snowflake, Redshift, Fivetran)
- Challenge and partner with engineering and data teams to deliver high-velocity, high-quality results and ensure architectural integrity
- Simplify, document, and share data transformations to improve existing BI and unlock platform migration
- Establish secure, scalable data ingestion (including PII) and build AI foundations for natural-language querying
- Mentor and grow the data team, foster a culture of excellence, and drive organizational adoption of data practices
Requirements
- 8+ years in data leadership (data engineering, data platform, analytics), with at least 3 years managing high-performing teams
- Proven experience building and scaling modern data stacks (Snowflake, Looker, Redshift, Fivetran, dbt, etc.)
- Track record of leading transformative data programs — from BI modernization to AI-native platforms
- Deep technical fluency in modern data architecture (ELT/ETL, Warehousing, BI visualization, Data Governance, and emerging AI/ML tooling)
- Strategic product mindset: experience shaping ambiguous challenges into a clear vision and an executable, prioritized roadmap
- Exceptional communicator and collaborator; able to earn trust across execs, engineers, and business stakeholders
- Comfortable diving into technical architecture and debating schema design
- Culture fit: low ego, high curiosity, high energy, and ability to thrive in a fast-paced, high-growth environment
- Bonus: Built or deployed AI/ML-powered products or platforms
- Bonus: Led a full data platform transformation at a high-growth company
- Bonus: Experience shaping a data org from the ground up
Benefits
- Annual 17% bonus
- Participation in our long-term incentive program
- Heavily subsidized healthcare plans
- Generous paid time off
- Wellness programs
- Professional development grants
- 401k plan
- Many other benefits, subject to applicable eligibility criteria and company policies
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata platformanalyticsdata architectureELTETLdata warehousingBI visualizationdata governanceAI/ML tooling
Soft skills
exceptional communicatorcollaboratortrust-buildingstrategic product mindsetproblem-solvingmentoringorganizational adoptionhigh curiosityhigh energyability to thrive in fast-paced environments
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