
Chief Data Architecture Specialist
4 days ago
We are seeking a highly skilled data architect with expertise in designing, building, and optimizing scalable data pipelines and lakehouse architectures.
">This role requires collaboration with cross-functional teams to deliver robust, secure, and high-performance data solutions that empower analytics and data science initiatives.
">Key Responsibilities">- Design and Develop Scalable Data Pipelines: Utilize Azure Data Factory and Azure Synapse Analytics for efficient data pipeline creation.">
- Build and Optimize Lakehouse Architectures: Leverage Delta Lake on Azure for efficient data storage and retrieval.">
- Provide Thought Leadership: Collaborate with client stakeholders to understand requirements and provide technical guidance.">
- Implement Data Ingestion and Orchestration: Use APIs, databases, and cloud storage to ingest, transform, and orchestrate diverse data sources.">
- Ensure Data Quality and Security: Maintain consistency and security across the data lifecycle using Azure services.">
- Develop Advanced SQL Queries: Complex transformations and performance tuning.">
- Create CI/CD Pipelines: DevOps practices and containerization (Docker, Kubernetes).">">Required Technical Skills">
- Expert-Level Azure Experience: Azure Data Services: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage.">
- Strong SQL Proficiency: Complex queries and performance optimization.">
- Advanced Python Skills: Data pipeline development and orchestration.">
- IaC Expertise: Terraform or similar tools for Azure.">
- Cloud Platform Familiarity: GCP or AWS.">">Soft Skills & Mindset">
- Growth Mindset: Continuous learning and innovation.">
- Collaboration Skills: Engineering, analytics, and business teams.">
- Client Management: Structured problem-solving approach.">
- Resilience: Solution-oriented attitude and excellent communication skills.">">Preferred Qualifications">
- Microsoft Certification: Azure Data Engineer Associate or equivalent.">
- Delta Live Tables Experience: Unity Catalog or MLflow.">
- Cloud Platform Familiarity: GCP or AWS.">"],
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