Sr. Solution Architect

Domain: Manufacturing experience

Key Skills: Strong Snowflake, AWS, Enterprise Data Architecture, Python/PySpark

Leadership: Must have experience managing 20+ team members and leading onshore/offshore teams.

Required Qualifications: 15+ years of proven experience in data engineering, data warehousing, or enterprise architecture roles

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.