Lead AI Architect – Data Platform

🕒 Yesterday

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $180k - $210k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 2%

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Banyan Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

🏢 Enterprise

💰 $20k Debt Financing on 2023-01

B2B • Enterprise

Banyan Software is a company dedicated to acquiring and nurturing successful enterprise software businesses, preserving the legacy of founders while fostering growth and innovation. Founded in 2016, Banyan adopts a buy, hold and grow for life strategy, focusing on businesses that dominate niche markets. With a global workforce of over 750 employees across the US, Canada, UK, Europe, Australia, and New Zealand, Banyan aims to provide a permanent home for these software companies, supporting their employees and customers in the process.

📋 Description

• Design, build, and run Banyan's centralized data and AI platform • Define and own the target-state data and AI architecture • Design and build an AWS-centric data lake with patterns for storage, cataloging, querying, ingestion, modeling, and lineage • Establish the AI experimentation layer with access to Anthropic, OpenAI, and other LLMs • Establish data contracts, schema standards, naming conventions, and a scalable domain model • Partner with Senior Business Analysts in Finance, M&A, and Business Development to translate use cases into platform requirements • Define security, privacy, and AI safety guardrails for PII, regulated data, and confidential portfolio information • Write code, ship infrastructure, conduct code reviews, and debug production issues • Build and lead a small platform team, including hiring contractors and mentoring team members • Own platform reliability, observability, cost, SLOs, and usage monitoring • Represent Banyan's AI and data architecture to executives, portfolio companies, and external partners • Deliver first-year outcomes including a governed AWS data lake, onboarded functional verticals, documented architecture standards, a production AI use case, and initial team hires

🎯 Requirements

• 10+ years building data and AI platforms in production at meaningful scale • Deep AWS expertise with S3, IAM, KMS, networking, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, and EKS or ECS • Strong data architecture skills: lakehouse patterns, open table formats (Iceberg, Delta, or Hudi), data modeling, ingestion frameworks, orchestration, and lineage • Experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows • Working knowledge of AI safety, including data classification, PII handling, access tiering, evaluation, and model-risk controls • Strong Python and SQL skills • Experience with Terraform or AWS CDK • Ability to read logs, fix issues, and ship pull requests • Player-coach experience leading small teams, mentoring engineers, setting hiring bars, and developing people • Strong communication skills with engineers and executives • Bachelor's degree in computer science, engineering, or a related field • Master's degree is a plus, not a requirement

🏖️ Benefits

• Competitive compensation • Performance bonus • Benefits • Meaningful long-term upside • Greenfield with real budget • Real ownership of the AI and data architecture for an entire holding company • Long-term horizon • Accountable autonomy • Inclusive workplace • Equal employment opportunities

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