IT Architect (SPOC) – Data Lake & Integration

Location Halol, Gujarat
Experience: 8+

Role Name: IT Architect (SPOC) – Data Lake & Integration

Role Summary

The IT Architect (Single Point of Contact – SPOC for all IT matters) will be responsible for defining and driving the end-to-end technical architecture for the Data Lake initiative for R&D. This role will lead system interaction mapping, define data-exchange standards, oversee integration mechanisms, and ensure architectural coherence across all phases. The Architect will closely collaborate with R&D functional SPOCs, data engineering teams, and platform owners to ensure smooth and secure data flows from source systems to downstream analytical platforms.

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Key Responsibilities

Architecture Leadership & Governance

· Act as the single point of contact (SPOC) for all IT and architectural matters related to the Data Lake program.

· Lead system interaction mapping across all upstream and downstream systems (e.g., ATLAS → SimSolv → iLab/Test → TDMS → PDM).

· Define and maintain Data Contracts including fields, formats, units of measure, versioning standards, and schema evolution guidelines.

· Approve and govern architecture decisions, ensuring alignment with enterprise architecture principles and future scalability needs.

· Validate and confirm export/file-drop mechanisms, APIs, or integration interfaces required for ingestion.

Data Lake Enablement

· Oversee data discovery workshops with system owners to document source structures, limitations, and integration touchpoints.

· Support the design of end-to-end ingestion pipelines, including file-drop, streaming, or API-based strategies.

· Ensure compliance with IT security, data privacy, and regulatory expectations.

Project Execution

· Actively support paper-integration dry-runs, mock ingestion cycles, and POCs to validate approach feasibility.

· Work with Data Engineering teams to validate technical assumptions and remove architectural blockers.

· Provide technical sign-off for all integration-related changes prior to deployment.

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Required Skills & Qualifications

· Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

· 8+ years of experience in solution architecture, data integration, or enterprise systems design.

· Strong experience in data platforms, cloud data lakes, and integration patterns (file-drop, APIs, ETL/ELT).

· Understanding of metadata management, master data, and data governance frameworks.

· Excellent communication and stakeholder management skills; ability to translate architecture into actionable steps.

Job Type: Full-time

Work Location: In person