Lead Data Engineer

We are seeking a highly skilled Google Cloud Platform (GCP) Data engineer role with 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

• Lead and mentor a team of data engineers in building ETL/ELT pipelines for SAP and other ERP sources into GCP
• Set engineering standards, best practices, and coding guidelines.
• Provide technical direction, code reviews, and support for complex data solutions.
• Collaborate with project managers, provide the estimates, track the progress, remove roadblocks to ensure timely completion of work.
• Collaborate with BI teams, Data analyst to enable reporting solution

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2. Data Architecture & Modeling

• Design conceptual, logical, and physical data models to support analytics and operational workloads.
• Implement star, snowflake, and data vault models for analytical systems.

3. Google Cloud Platform Expertise

• Design data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Implement cost optimization strategies for GCP workloads.

4. Data Pipelines & Integration

• Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
• Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
• Leverage integration tools such as Boomi for system interoperability.

5. Programming & Analytics

• Develop complex SQL queries for analytics, transformations, and performance tuning.
• Build automation scripts and utilities in Python.

6. System Migration

• Lead on-premise to cloud migrations for enterprise data platforms [SAP BW/Bobj]
• Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.

8. DevOps for Data

• Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
• Apply infrastructure-as-code principles for reproducible and scalable deployments.

9. Data Modelling

• Design and develop conceptual, logical, and physical data models for enterprise systems.
• Translate business requirements into data entities, attributes, relationships, and constraints.
• Build and maintain dimensional models (Star/Snowflake schema) for data warehouses and BI reporting.
• Develop data models for data lake / lakehouse environments (BigQuery, Snowflake, Azure Synapse, Databricks).
• Define and document data standards, naming conventions, and data definitions.
• Collaborate with Data Engineering teams to ensure models are implemented accurately in ETL/ELT pipelines.
• Work with BI teams to optimize models for reporting tools such as Power BI, Tableau, SAP BW, etc.
• Support integration across multiple source systems (SAP, Salesforce, Oracle, etc.).
• Ensure data models comply with data governance, security, and compliance requirements.
• Create and maintain documentation including ERDs, data dictionaries, and lineage diagrams

Preferred Skills

• 8-10 years of proven experience with GCP BigQuery, Composer, Cloud Storage, Pub/Sub, Dataflow.
• Strong SQL and Python programming skills.
• Hands-on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
• Knowledge of data governance frameworks and security best practices.
• Familiarity with DevOps tools for data.
• Understanding of Google Cortex Framework for SAP-GCP integrations.