Solution Director

Google Cloud : BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Vertex AI Microsoft Azure : Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake, Fabric, Power BI Drive adoption of best practices in Data Engineering, DataOps, MLOps, security, and governance . Review and approve architecture designs, ensuring scalability, performance, cost optimization, and compliance.

People & Organization Leadership

Build, lead, and scale large teams of 100+ data engineers, architects, and leads across onshore/offshore models. Establish strong execution culture with focus on quality, velocity, and innovation . Mentor senior technical leaders and create succession pipelines., Google Cloud : BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Vertex AI Microsoft Azure : Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake, Fabric, Power BI Drive adoption of best practices in Data Engineering, DataOps, MLOps, security, and governance . Review and approve architecture designs, ensuring scalability, performance, cost optimization, and compliance.

17-23 years of overall experience in Data Engineering, Analytics, or Cloud Platforms. 10+ years of customer-facing leadership experience in enterprise environments. Proven experience in handling teams of 100+ people . Experience working in global delivery models , including offshore teams.

Technical Leadership & Architecture

Provide end-to-end technical leadership for enterprise-scale data platforms across GCP and Azure Data ecosystems. Architect and govern modern data platforms including Lakehouse, Data Mesh, Data Fabric , and advanced analytics architectures., Excellent communication and executive presentation skills . Ability to articulate complex technical concepts to non-technical stakeholders . Strong written and verbal communication for proposals, presentations, and strategy documents.

Key Responsibilities

Communication & Leadership (Must Have)

Excellent communication and executive presentation skills . Ability to articulate complex technical concepts to non-technical stakeholders . Strong written and verbal communication for proposals, presentations, and strategy documents.

Skill Requirements Provide end-to-end technical leadership for enterprise-scale data platforms across GCP and Azure Data ecosystems. Architect and govern modern data platforms including Lakehouse, Data Mesh, Data Fabric , and advanced analytics architectures.