Architecture & Design

- Proven experience designing enterprise-scale data platform architectures end-to-end from source ingestion through to consumption
- Deep understanding of medallion / lakehouse architecture patterns (Raw / Harmonized / Conformed / Consumption)
- Strong knowledge of data modelling approaches: relational, dimensional, and lakehouse-oriented
- Experience designing data governance architectures: lineage, data quality frameworks, audit and control patterns, SCD versioning, CDC
- Ability to design for both batch and real-time data processing at scale
- Experience architecting parallel-run and phased migration strategies across platforms
- Azure Data Platform Strong hands-on knowledge of:
- Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool)
- Azure Data Lake Storage Gen2
- Delta Lake on Azure (Synapse Lakehouse)
- Azure Analysis Services
- Oracle Golden Gate or equivalent real-time replication patterns
- Power BI and semantic layer design
- Databricks & Lakehouse
- Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred)
- Robust understanding of Databricks platform capabilities: Delta Lake, Spark-based transformation, workflow orchestration, governance
- Experience designing migration architectures from legacy data warehouse or Synapse environments to Databricks Lakehouse
- Ability to architect governance and control frameworks natively within Databricks

Cloud & Infrastructure

- Strong Azure cloud architecture skills — security, networking, scalability, and cost optimization
- Experience with Infrastructure as Code (Terraform preferred)
- CI/CD and DevOps practices for data platform delivery (Azure DevOps / GitHub Actions)
- Containerization and compute management (Docker,



Kubernetes awareness)
- Data Engineering Depth
- Sufficient hands-on engineering background to engage credibly with senior engineers on implementation decisions
- Strong Python and SQL skills — able to review, challenge, and contribute to code where necessary
- Experience with ETL/ELT frameworks, pipeline design patterns, and performance optimization at scale

Nice to Have

- Experience with Unity Catalog and Azure Purview for enterprise data governance
- Exposure to real-time and streaming architectures (Event Hub / Kafka / Kinesis)
- Familiarity with MLOps and GenAI platform integration patterns
- Experience with monitoring and observability frameworks (e.g., Dynatrace)
- Background in financial services or other regulated industries

Experience & Profile

- 12+ years of experience in Data Engineering and/or Data Architecture, with at least 4–5 years in a solution or platform architect role
- Proven experience joining mid-flight programmes — able to quickly understand existing implementations and make sound architectural decisions without starting from a blank slate
- Track record of delivering architecture across complex, multi-layer data platforms in enterprise environments
- Strong ability to balance pragmatism with rigour — delivering architecture that works for the team today while keeping the longer-term direction sound
- Excellent communication and stakeholder management skills — able to present technical architecture clearly to both engineering teams and non-technical stakeholders
- Collaborative by nature — this is a working architect role embedded with the team, not a remote advisory position
- Experience working in regulated or enterprise-scale environments (financial services a plus)

📌 Data Platform Solution Architect (Hyderabad)
🏢 Hexaware Technologies
📍 Hyderabad