Lead Data Architect AI/ML (W2)
Snowrelic Inc · United States · 4 mo ago
RemoteRemoteEngineeringContract
Responsibilities
- Data & AI Architecture Leadership
- Design and evolve enterprise-scale data platforms and AI architecture
- Enable analytics, ML, and intelligent automation across the division
- Architect distributed data systems in microservices and event-driven environments
- Strategy & Roadmapping
- Define data modernization and AI strategy aligned to business goals
- Develop long-term roadmaps for MLOps, governance, and AI enablement
- Translate business strategies into measurable data solutions
- AI & ML Enablement
- Lead AI prototypes, POCs, and production of ML pipelines
- Operationalize models using containers, APIs, and serverless frameworks
- Establish CI/CD for ML and model observability practices
- Data Engineering & Modeling Standards
- Oversee ETL/ELT architecture from source to target
- Define logical and physical data modeling standards (dimensional, normalized, denormalized)
- Support BI, analytics, and AI data access patterns
- Governance & Responsible AI
- Establish data quality, lineage, and trust frameworks
- Promote ethical AI, explainability, and regulatory compliance
- Implement observability and governance best practices
- Leadership & Influence
- Guide architecture across Agile Release Trains (ARTs)
- Influence cross-functional stakeholders and enterprise architects
- Mentor engineers and data professionals
Qualifications
- 5+ years leading enterprise data architecture initiatives
- Expertise in distributed data systems and lakehouse/warehouse architecture
- Experience with ML operationalization frameworks (MLflow, SageMaker, similar)
- Strong Python, SQL, Snowflake, MongoDB skills
- AWS cloud experience (Glue, Redshift, SageMaker, Bedrock preferred)
- ETL/ELT design and implementation experience
- Strong logical and physical data modeling expertise
- Experience in microservices and event-driven architecture
- Knowledge of data governance, explainability, and responsible AI
- Experience in CI/CD for ML, data observability, and lineage tools
- TOGAF Certification
- Demonstrated strategic vision, roadmapping, and executive influence