Data Architect

3 weeks ago

Agra, Uttar Pradesh, India Veltris Full time

Designation: Data Architect

Total Experience: 15-19 Years

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.

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