We are looking for an experienced Resident Solution Architect with strong expertise in Databricks, Modern Data Platforms, Cloud Architecture, and AI-driven solutions. The ideal candidate will play a key role in designing scalable enterprise data ecosystems, leading modernization initiatives, and enabling advanced analytics and AI transformation programs for global clients.
Key Responsibilities
- Design and implement enterprise-scale data and analytics platforms using Databricks Lakehouse architecture
- Lead end-to-end solution architecture for data engineering, cloud modernization, and AI initiatives
- Collaborate with business stakeholders, engineering teams, and leadership to define scalable and secure data solutions
- Drive data platform governance, security frameworks, and best practices across cloud environments
- Architect high-performance ETL/ELT pipelines and streaming data solutions
- Support migration from legacy data warehouses and Hadoop ecosystems to modern cloud lakehouse platforms
- Enable AI/ML and Generative AI use cases leveraging modern Databricks capabilities
- Provide technical leadership, estimation, architecture reviews, and client presentations
Requirements
Required Skills & Expertise
Data Engineering
- Strong experience in Spark, PySpark, Delta Lake, Structured Streaming
- Expertise in ETL/ELT design and data pipeline optimization
- Experience with performance tuning and scalable distributed processing
Platform Architecture
- Hands-on expertise with Unity Catalog and Databricks workspace architecture
- Experience designing governance frameworks, security models, RBAC, and cluster policies
- Knowledge of enterprise-grade platform administration and governance controls
Data Warehousing
- Strong understanding of Medallion Architecture and Lakehouse concepts
- Experience with Databricks SQL and dimensional data modeling
- Expertise in enterprise data modeling and warehouse modernization
Cloud Infrastructure
- Strong fundamentals in AWS, Azure, or GCP
- Understanding of networking, IAM, storage services, compute services, and cloud security architecture
- Experience designing scalable and secure cloud-native solutions
Cloud Integration
- Experience integrating with SAP systems and enterprise applications
- Knowledge of REST APIs, Kafka/Event Streaming, and Snowflake connectivity
- Experience integrating analytics platforms like Power BI and Tableau
Data Migration
- Experience in legacy DWH modernization and Hadoop migration projects
- Expertise in ETL migration, CDC patterns, and migration frameworks
- Ability to define migration strategies and execution roadmaps
CI/CD & DevOps
- Experience with Git, Terraform, Databricks Asset Bundles
- Hands-on exposure to Azure DevOps and GitHub Actions
- Strong understanding of deployment automation and DevOps practices
Latest Technologies
- Exposure to AI/ML, Generative AI, Agentic AI, Vector Databases, and RAG architectures
- Knowledge of Mosaic AI and Lakehouse AI capabilities
- Understanding of enterprise AI adoption patterns and modern AI frameworks
Consulting & Leadership Skills
- Conduct discovery workshops and solution assessment sessions
- Strong experience in solution architecture documentation and estimation models
- Excellent client communication and executive presentation skills
- Ability to engage with senior stakeholders and drive strategic discussions
Preferred Qualifications
- Experience working in enterprise consulting or global delivery environments
- Databricks and cloud certifications are highly preferred
- Strong problem-solving and stakeholder management skills
