Solution Architect
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Job Description
We are seeking a highly experienced Solutions Architect specializing in Data Engineering and Analytics to design build and deploy scalable cloud-based data platforms. The ideal candidate will have deep expertise in Azure and Databricks strong architectural knowledge of Data Lakehouse solutions and a proven ability to guide teams in implementing enterprise-grade data platforms.
Key Responsibilities
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Architect & Design: Lead the design and implementation of Data Lakehouse architectures including batch and real-time streaming pipelines using Delta Lake.
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Cloud Data Platforms: Build and optimize scalable data engineering solutions leveraging Azure Data Factory Databricks ADLS Azure Event Hub PySpark/Scala/SQL.
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Data Governance & Cataloging: Drive the adoption and implementation of Unity Catalog ensuring robust data lineage governance schema and access control mechanisms.
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Performance & Cost Optimization: Review solutions and guide teams on performance tuning cloud cost optimization and architectural best practices.
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Technical Leadership: Act as a trusted advisor to engineering teams providing hands-on guidance in data engineering analytics and cloud-native design patterns.
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Innovation & Strategy: Evaluate new tools frameworks and approaches to continuously improve the enterprise data ecosystem.
Key Skills & Experience
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12 years in Data Engineering & Analytics with strong focus on cloud-based platforms.
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Proven expertise in Azure Cloud Services Databricks Delta Lake and Lakehouse architectures.
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Hands-on experience with PySpark Scala and SQL for building large-scale data pipelines.
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Strong knowledge of data governance security frameworks and data cataloging tools (Unity Catalog preferred).
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Experience with streaming technologies (Azure Event Hub Kafka or similar).
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Strong understanding of data pipeline frameworks distributed computing and performance optimization.
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Excellent communication leadership and stakeholder management skills.
Employment Type
Full Time
