About this role
GCP Data Architect - Role Overview
We are seeking a highly skilled Google Cloud Platform (GCP) Data Architect with strong SAP data integration expertise to design, implement, and oversee enterprise-grade data solutions. The ideal candidate will combine deep expertise in cloud data platforms, data governance, security, and data modeling with hands-on experience in ETL/ELT pipelines, SAP data extraction, system migrations, and analytics. This role will collaborate with business stakeholders, and engineering teams to create a robust, scalable, and cost-effective data ecosystem that bridges SAP and GCP environments.
Key Responsibilities
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- Data Strategy, Security & Governance
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Define and implement enterprise-wide data strategy aligned with business goals.
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Establish data governance frameworks, data classification, retention, and privacy policies.
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Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA, PIPEDA).
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- Data Architecture & Modeling
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Design conceptual, logical, and physical data models to support analytics and operational workloads.
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Implement star, snowflake, and data vault models for analytical systems.
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Implement S4 CDS views in Google Big Query
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- Google Cloud Platform Expertise
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Architect data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
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Implement cost optimization strategies for GCP workloads.
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- Data Pipelines & Integration
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Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
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Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
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Leverage integration tools such as Boomi for system interoperability.
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- Programming & Analytics
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Develop complex SQL queries for analytics, transformations, and performance tuning.
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Build automation scripts and utilities in Python.
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Good understanding of CDS views, ABAP language
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- System Migration
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Lead on-premise to cloud migrations for enterprise data platforms [SAP BW/Bobj]
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Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.
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- DevOps for Data
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Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
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Apply infrastructure-as-code principles for reproducible and scalable deployments.
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Preferred Skills
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Proven experience with GCP BigQuery, Cloud Storage, Pub/Sub, Dataflow.
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Strong SQL and Python programming skills.
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Hands-on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
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Knowledge of data governance frameworks and data security best practices.
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Experience with Boomi, Informatica, or MuleSoft for SAP and non-SAP integrations.
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Experience in Google Cortex Framework for SAP-GCP integrations.