2 months ago
Mumbai, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead presales solutioning for Azure Databricks opportunities, including architecture proposals, estimation, solution demonstrations, and client workshops.
- Design end-to-end Azure Databricks architectures using Lakehouse, Delta Lake, Unity Catalog, Databricks SQL, Workflows, Power BI, and the Azure ecosystem.
- Define data platform strategies, target-state architectures, and migration roadmaps for data lakes, warehouses, and lakehouses.
- Architect migrations from on-premises warehouses, Synapse, Snowflake, and other cloud data platforms to Azure Databricks.
- Provide technical leadership during delivery through solution design, architecture governance, design reviews, performance and cost optimization, and production readiness.
- Establish data architecture, security, governance, lineage, access-control, and CI/CD practices for Azure Databricks delivery.
- Advise client stakeholders, mentor data engineers and architects, and contribute to reusable accelerators and practice intellectual property.
- Stay current with the Databricks roadmap and Azure data platform ecosystem.
Requirements
- 12–15 years of experience in data engineering or architecture roles, with recent experience actively implementing Azure Databricks-based solutions.
- Hands-on architecture experience with Lakehouse, Delta Lake, Unity Catalog, Databricks SQL, Workflows, and cluster or compute optimization.
- Strong experience designing modern data estates, including data lake, data warehouse, medallion architecture, dimensional modeling, and applicable data mesh concepts.
- Proven experience leading migrations from legacy on-premises or cloud platforms to Azure Databricks.
- Strong knowledge of Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, and Azure SQL.
- Strong SQL, data modeling, performance tuning, Spark, and PySpark skills.
- Experience with data governance and security frameworks, including role-based access, data lineage, and enterprise compliance considerations.
- Demonstrated presales solutioning experience with proposals, estimation, and client workshops alongside hands-on delivery capability.
- Experience mentoring teams and owning technical delivery quality on medium-to-large engagements.
- At least three years of hands-on Azure Databricks experience preferred.
- Databricks certifications such as Databricks Certified Data Engineer Professional, Databricks Certified Machine Learning Professional, or Databricks Solutions Architect preferred.
- Exposure to MLflow, Databricks Model Serving, GenAI, or agentic data use cases preferred.
- Experience across multiple industry domains, global systems-integrator delivery environments, distributed teams, or reusable accelerator and practice-building initiatives preferred.
Tech Stack
Categories
Solutions Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.