Resident Solution Architect

Unison Group; Hyderabad; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Unison Group is seeking an experienced Resident Solution Architect based in Hyderabad, India. The role involves designing enterprise-scale data platforms using Databricks Lakehouse architecture, leading data engineering and AI-driven initiatives. Candidates should have substantial experience in data ecosystems, cloud services (AWS, Azure, GCP), and strong problem-solving skills. A Bachelor’s degree in Computer Science or related field is preferred. The position is a key opportunity to drive modernization and analytics transformation for global clients.

Qualifications

• 5+ years of experience in solution architecture focusing on data ecosystems.
• Strong knowledge of Databricks, cloud services (AWS, Azure, GCP).
• Experience in modern data platforms and migration strategies.

Responsibilities

• Design and implement data and analytics platforms using Databricks.
• Lead solution architecture for cloud modernization and AI initiatives.
• Collaborate with stakeholders to define scalable and secure data solutions.
• Drive data governance and security frameworks.

Skills

Databricks

Data Engineering

Cloud Architecture

AI-driven solutions

ETL/ELT design

Data pipeline optimization

AWS

Azure

GCP

DevOps

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Terraform

Azure DevOps

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 & 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