Key Capabilities
Experience with designing & delivering Enterprise data Platforms and awareness of all the areas of the data ecosystem (Data Management, Integrations (Streaming/Batch), Visualizations, Analytical Platforms etc.)
Manufacturing domain experience
Design Architectures: Build secure, scalable data solutions on AWS and Snowflake
Lead Teams: Lead Onshore & Offshore teams to create the solution
Drive Innovation: Apply AI awareness to increase productivity and develop AI solutions.
Lead Readouts: Ability to present technical plans and business value to executive stakeholders clearly.
Communication: Exceptional verbal and written communication skills for high-level leadership readouts.
Detailed Technical Skills
Cloud Infrastructure (AWS): Deep expertise in IAM, VPC networking, CloudWatch, S3, IAM, Lambda, Glue, and EMR.
Data Warehousing (Snowflake): Mastery of Snowpipe, streams, tasks, dynamic tables, data sharing, and storage optimization.
Development & Scripting (Python): Advanced skills in PySpark, Pandas, NumPy, and building optimized, object-oriented data frameworks.
DevOps & CI/CD: Hands-on experience with Git, GitHub Actions, GitLab CI, and Infrastructure as Code (Terraform or CloudFormation).
AI & Machine Learning Awareness: Awareness of vector databases, LLM integration, prompt engineering, and MLOps pipelines (e.g., SageMaker).
Data Governance & Security: Proven ability to implement role-based access control (RBAC), data masking, and encryption at rest/in transit.
Required Qualifications
Experience: 15+ years of proven experience in data engineering, data warehousing, or enterprise architecture roles.
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