<p>Job Description : </p><p><br/></p><p>We are seeking a highly experienced Azure Data Architect with strong expertise in solution application architecture, advanced data modelling, and modern data flow design.
</p><p><br/></p><p>The ideal candidate will have deep exposure to hybrid data landscapes, governance frameworks, and hands-on implementation across both native Azure services and open-source platforms.
</p><p><br/></p><p>Key Responsibilities : </p><p><br/></p><p>- Lead solution architecture, data modelling, ontology modelling, and data flow architecture for large-scale enterprise data ecosystems.
</p><p><br/></p><p>- Architect and design solutions leveraging Microsoft Fabric and Microsoft Purview.
</p><p><br/></p><p>- Drive end-to-end data strategies in hybrid landscapes across unstructured, time-series, OT, ET, and enterprise data domains.
</p><p><br/></p><p>- Design and engineer data catalogs, semantic models, and metadata frameworks using Azure native services and modern data platforms like Snowflake, Databricks, and Dremio.
</p><p><br/></p><p>- Utilize open-source tools, APIs, and Python for data extraction, processing, and building custom connectors and integration utilities.
</p><p><br/></p><p>- Implement solutions with Apache Iceberg, Azure Data Catalog, Purview, Apache Atlas, OpenLineage, and other modern data governance tools.
</p><p><br/></p><p>- Drive adoption of DataOps practices with observability frameworks leveraging Splunk, Datadog, Grafana, Prometheus, and open-source technologies.
</p><p><br/></p><p>- Partner with stakeholders, engineering teams, and business leaders to deliver scalable, secure, and high-performing data architectures.
</p><p><br/></p><p>Required Skills & Experience : </p><p><br/></p><p>- 10+ years of experience in data architecture and solution design, with proven leadership in enterprise-scale deployments.
</p><p><br/></p><p>- Strong expertise in Azure data ecosystem including Fabric, Purview, Azure Data Catalog, and native services.
</p><p><br/></p><p>- Rich experience in data modelling, ontology modelling, and data flow architecture.
</p><p><br/></p><p>- Proven track record of designing hybrid solutions across structured and unstructured datasets.
</p><p><br/></p><p>- Hands-on expertise with Snowflake, Databricks, Dremio, and open-source data platforms.
</p><p><br/></p><p>- Strong programming skills in Python, including API development and automation frameworks.
</p><p><br/></p><p>- Deep understanding of data governance, metadata management, and lineage using open-source and enterprise-grade tools.
</p><p><br/></p><p>- Experience with DataOps, monitoring, and observability frameworks (Splunk, Datadog, Grafana, Prometheus).
</p><p><br/></p><p>Good to Have : </p><p><br/></p><p>- Exposure to AI/ML-driven data management frameworks.
Knowledge of real-time streaming data architectures.
kindly give the keywords for above JD</p> (ref:hirist.tech)