Job description
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 Required Skills & ExpertiseData 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
This job post has been translated by AI and may contain minor differences or errors.
