Resident Solution Architect

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