Snowflake Data Architect

1. Strong Snowflake skill with Manufacturing vertical background
2. Experience in working onshore / offshore model, not individual contributor
3. Candidate is expected to be driving and own project delivery from onshore with offshore team.

Day to Day job Duties:

• Design, develop, and optimize Snowflake data solutions supporting manufacturing and Integrated Supply Chain business processes.
• Extract and ingest data from multiple source systems using Fivetran and Informatica Intelligent Cloud Services (IICS), ensuring reliable, scalable, and auditable data pipelines.
• Develop and maintain Snowflake objects, including databases, schemas, tables, views, streams, tasks, stored procedures, functions, stages, file formats, and secure data-sharing components.
• Perform data transformation, integration, and validation activities to deliver trusted datasets for supply chain planning, procurement, inventory, logistics, manufacturing operations, and related reporting use cases.
• Collaborate directly with clients and business stakeholders to gather, clarify, and analyse functional and technical requirements.
• Analyze source-to-target mappings, business rules, data dependencies, and data-quality requirements in collaboration with business analysts, architects, and client stakeholders.
• Prepare deployment packages and deploy Snowflake, Fivetran, and IICS objects to QA and Production environments in accordance with release-management and change-control procedures.
• Develop, schedule, monitor, troubleshoot, and deploy Control-M jobs and workflows across development, QA, and Production environments. Coordinate with offshore teams to manage Control-M configurations, dependencies, calendars, alerts, and production deployment activities, and validate successful execution after release.
• Manage Opsera-based CI/CD development and deployment activities, including pipeline configuration, release orchestration, approvals, environment promotion, and deployment of Snowflake and related data integration objects across Development, QA, and Production environments. Monitor deployment execution, troubleshoot pipeline failures, coordinate with offshore teams, and perform post-deployment validation.
• Coordinate with security team for masking review and security testing.
• Coordinate with the offshore development team and operations team to plan and execute QA and Production deployments, including prerequisite checks, deployment sequencing, rollback planning, and post-deployment validation.
• Execute functional, integration, regression, and production smoke testing; reconcile data across source and target systems and document test evidence and results.
• Coordinate User Acceptance Testing (UAT) with client business and IT teams, track defects, investigate data and application issues, and provide timely status updates.
• Debug UAT, QA, and Production issues by performing root-cause analysis across Snowflake, Fivetran, IICS, source systems, orchestration workflows, and downstream reporting layers.
• Work closely with offshore developers to implement fixes, complete peer reviews, retest resolved issues and promote approved changes through the deployment lifecycle.
• Monitor pipeline performance, data freshness, failed jobs, warehouse utilization, and query performance; proactively recommend improvements for reliability, cost, and scalability.
• Maintain technical documentation, deployment runbooks, test cases, operational support guides, and knowledge-transfer materials.
• Attend daily Scrum meetings, client requirement discussions, backlog-grooming sessions, sprint-planning meetings, deployment reviews, UAT discussions, and other project meetings scheduled during US business hours. Collaborate with onsite and offshore teams to provide status updates, clarify requirements, resolve blockers, and support timely project delivery.
• Maintain timely and accurate JIRA story updates, including status, progress, estimates, dependencies, risks, blockers, testing results, deployment details, and acceptance criteria.
• Any additional activities required to meet the scope of project

Basic Qualifications:

• Minimum 10+ years of overall experience in data engineering, data warehousing, ETL/ELT, or analytics-platform development.
• Minimum 6+ years of hands-on Snowflake development experience on enterprise implementation or modernization projects.
• Minimum 2+ years of experience building and supporting data ingestion pipelines using Fivetran and/or Informatica IICS.
• Strong hands-on experience with advanced SQL, dimensional data modeling, performance tuning, query optimization, and Snowflake cost-management practices.
• Experience in manufacturing-domain projects, specifically within Integrated Supply Chain functions
• Experience in handling data from SAP source systems

Degree: Bachelors in computer science or equivalent work experience

Nice to Have;

• SnowPro Core or advanced Snowflake certification.