Michael Baker International · 2 days ago
Lead Database Developer - AI/ML Focus
Michael Baker International is seeking a skilled Lead Database Developer with AI/ML expertise to architect, build, and scale intelligent, data-driven applications across their enterprise ecosystem. The role involves leading database developers, partnering with data scientists, and owning the roadmap for scalable data systems that enable real-time insights and model-driven decision-making.
ArchitectureInformation TechnologyService Industry
Responsibilities
Lead design of scalable data pipelines, ingestion frameworks, and distributed processing systems
Architect enterprise data lake/lakehouse/warehouse solutions (Databricks, Snowflake, BigQuery, Redshift)
Guide data engineers on best practices, code quality, and scalable data engineering patterns
Own end-to-end execution of data engineering initiatives, including estimation, delivery, and performance optimization
Build ML-ready data environments, feature stores, and training pipelines
Partner with data scientists to productionize ML models with CI/CD/CT
Implement model monitoring, data quality, feature versioning, and automated retraining
Support real-time and batch feature engineering and inference pipelines
Develop scalable ELT/ETL pipelines using Spark, PySpark, SQL, Airflow, DBT, Kafka, Kinesis
Build high-quality data models (dimensional, data vault, lakehouse)
Implement observability, lineage, and data quality frameworks across all pipelines
Architect MLOps pipelines using Docker, Kubernetes, Terraform, MLflow, SageMaker, or Vertex AI
Optimize cloud cost, performance, and reliability for large-scale AI/ML workloads
Drive standards for cloud data infrastructure and reusable data engineering components
Ensure compliance with SOC2, GDPR, PII standards based on company needs
Implement secure data-sharing, encryption, IAM, tokenization, and access patterns
Maintain metadata, cataloging, governance processes (Collibra, Alation, Unity Catalog)
Champion emerging technologies including GenAI, vector databases, and LLM-based pipelines
Drive innovation in AI/ML data engineering and real-time analytics
Lead and mentor data engineering teams
Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions
Translate business requirements into scalable data strategies
Qualification
Required
Bachelor's degree in Computer Science or related field, or similar, or equivalent experience
Any Data or AI/ML related certifications
6–12+ years of data engineering experience with 2–5+ years in a lead role
Strong programming in Python, SQL; deep expertise in Spark/Databricks
Experience building ML-ready architectures, feature stores, and MLOps pipelines
Expertise with cloud platforms (AWS, Azure, or GCP)
Proven ability to lead engineering teams, mentor junior engineers, and drive architectural decisions
Preferred
Experience implementing vector databases (Pinecone, FAISS, Milvus) and LLM-based pipelines including RAG
Background in real-time analytics and low-latency ML inference
Experience in highly regulated industries (healthcare, fintech, retail, AEC, manufacturing)
Ensure quality, compliance, and security across all data platforms while implementing observability, lineage, and governance frameworks
Define and execute enterprise data strategies aligned with AI/ML initiatives while championing best practices in data engineering, MLOps, and cloud optimization
Benefits
Medical, dental, vision insurance
401 (k) Retirement Plan
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Life, AD&D, short-term, and long-term disability
Professional and personal development
Generous paid time off
Commuter and wellness benefits
Company
Michael Baker International
Michael Baker International is a Critical Service Provider company.
H1B Sponsorship
Michael Baker International has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (48)
2024 (35)
2023 (24)
2022 (39)
2021 (29)
2020 (34)
Funding
Current Stage
Late StageLeadership Team
Recent News
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