Designation: Data Architect

Notice Period: Immediate to 30 days maximum.

Location: Hyderabad/ Remote

Mandatory Skills

• Strong understanding of data architecture and data management principles.
• In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
• Strong experience with ETL/ELT pipelines, data transformation, and real-time data processing using Spark
• Proficiency in programming languages such as Python, SQL, Spark notebooks (Using Databricks)
• Strong working experience in Databricks, Unity Catalog, DLT tables etc.,
• Must have strong development & design skills in leading Synapse database.
• Experience in designing high-performance, distributed, and scalable database architectures.
• Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
• Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
• 8-10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
• Experience in building and managing data lakes, warehouses, and streaming architectures.
• Experience with big data processing frameworks (Apache Spark, Hadoop, Databricks, EMR).
• Should have executed end-to-end projects focusing on Azure Synapse Delta lake.
• Should have thorough understanding of Data-lakes, Delta-lakes, raw/enriched/curated layer concepts and ETL within Azure framework
• Highly skilled in end-to-end Data warehousing and BI (analytics) design / development.
• Create Design, Functional/Technical specification documentations or any artifacts needed.
• Experience in building and managing data lakes, warehouses, and streaming architectures.
• Experience with big data processing frameworks (Apache Spark, Hadoop, Databricks, EMR).
  
  

Good To Have

• Strong understanding of data security best practices, encryption, and access controls.
• Experience implementing data governance frameworks, auditing, and lineage tracking.
• Familiarity with compliance requirements (GDPR, CCPA, HIPAA, SOC2). Experience working with healthcare data standards (FHIR, HL7, EDI transactions).
• Exposure to AI/ML data pipelines and integrating machine learning models into data workflows.
  
  

(ref:hirist.tech)