Data Architect specializing in Azure and Databricks technologies at Ness Digital Engineering. Leading the design and implementation of enterprise-scale data solutions.
Responsibilities
Lead the architecture, design, and implementation of enterprise data warehouses, data lakes, and lakehouses on Azure and Databricks
Define and enforce data modeling standards, best practices, and guidelines
Architect end-to-end modern data platforms leveraging Azure Synapse, Databricks, Delta Lake
Design scalable ETL/ELT pipelines and orchestrate workflows for ingestion, transformation, and consumption
Partner with business stakeholders, product teams, and data engineers to deliver high-quality data solutions
Ensure solutions are secure, performant, and compliant with enterprise governance and regulatory standards
Define data strategy and reference architecture for modernization from legacy to modern architectures
Provide technical leadership and mentoring to engineering teams
Requirements
15+ years of experience in Data Engineering/Architecture
Proven experience as a Data Architect or Senior Data Engineer/Lead designing and implementing enterprise data warehouses
Hands-on expertise with Azure services: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Purview
Strong expertise with Databricks: Delta Lake, Lakehouse, Spark, MLflow
Very strong SQL development and optimization skills
Strong data modeling skills
Knowledge of traditional data platforms
Solid understanding of data governance, metadata management, data quality, and security
Experience in building real-time/streaming data pipelines is a plus
Bachelor’s/Master’s degree in Computer Science, Information Systems, or related field
Certifications in Azure Data Engineer/Architect or Databricks preferred.
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