Solution Architect
Antons
Posted on 15 Sep
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Experience
12 - 17 Years
Job Location
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
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.
Desired Candidate Profile
Proven expertise in Azure Cloud Services, Databricks, Delta Lake, and Lakehouse architectures.
Hands-on experience with PySpark, Scala, and SQL for building large-scale data pipelines.
Strong knowledge of data governance, security frameworks, and data cataloging tools (Unity Catalog preferred).
Experience with streaming technologies (Azure Event Hub, Kafka, or similar).
Strong understanding of data pipeline frameworks, distributed computing, and performance optimization.
Excellent communication, leadership, and stakeholder management skills.
12+ years in Data Engineering & Analytics with strong focus on cloud-based platforms.
Company Industry
Department / Functional Area
Keywords
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