Data Architect
Syntricate Technologies
Data Architect
12+ Months Long Term
Louisville, KY (Hybrid)
Web Cam Interview W2 only Role:-
12+ Months Long Term
Louisville, KY (Hybrid)
Web Cam Interview W2 only Role:-
- We are seeking an experienced Data Architect with hands-on expertise in Azure Databricks , Azure Data Lakehouse , and Medallion Architecture .
- The ideal candidate will have strong implementation experience, including the integration of Delta Lake tables , and a background in working with Customer Data Platforms (CDP) .
- This role requires a deep understanding of cloud-native data solutions and the ability to architect and deliver scalable, high-performing data platforms that can support advanced analytics, machine learning, and business intelligence solutions.
- Design and Implement Data Architecture : Lead the design and development of scalable, cloud-based data architectures leveraging Azure Data Lakehouse and Medallion Architecture principles.
- Azure Databricks and Delta Lake : Architect and implement data pipelines and ETL processes using Azure Databricks , ensuring seamless integration with Delta Lake to enable ACID transactions, time travel, and optimized data storage.
- Medallion Architecture : Implement the Medallion Architecture pattern, building Bronze, Silver, and Gold layers to ensure efficient data processing, aggregation, and enrichment for analytics and reporting.
- Customer Data Platform (CDP) Integration : Design and manage the data architecture to effectively handle customer data, ensuring the Customer Data Platform (CDP) is integrated with the Azure data ecosystem, enabling personalized and customer-centric analytics.
- Data Lakehouse Management : Lead the implementation and optimization of Azure Data Lake Storage (ADLS) to support structured, semi-structured, and unstructured data storage, ensuring efficient querying and data retrieval.
- Data Governance and Security : Define and implement robust data governance, security, and compliance practices using tools like Azure Data Catalog , Azure Purview , and Azure Key Vault . Ensure data is securely stored and accessed in compliance with data privacy regulations (GDPR, CCPA).
- Performance Optimization : Optimize data pipelines for performance, scalability, and cost-efficiency, ensuring that data is processed efficiently and meets SLAs for downstream analytics and reporting systems.
- Collaboration with Data Engineers and Analysts : Work closely with data engineers, business analysts, and data scientists to define data requirements, ensuring that data pipelines are designed to meet business needs.
- Real-Time Data Integration : Architect real-time data ingestion pipelines, integrating with various data sources (APIs, event hubs, etc.), and streamlining real-time analytics using Azure Databricks and Delta Lake.
- Documentation and Best Practices : Establish best practices for data architecture, provide documentation for data pipelines and architecture, and ensure knowledge sharing across the organization.
- 5+ years of experience in data architecture and engineering, with expertise in Azure Databricks , Azure Data Lakehouse , and Delta Lake .
- Hands-on experience implementing Medallion Architecture , building and managing Bronze, Silver, and Gold data layers.
- Strong experience with Azure Data Lake Storage (ADLS) and integration with Delta Lake for efficient data storage and querying.
- Customer Data Platform (CDP) experience, with the ability to design and integrate customer-centric data architectures that drive personalized analytics.
- Experience in data governance, security, and compliance using Azure tools like Azure Purview , Data Catalog , and Key Vault .
- Proven experience in ETL/ELT development and real-time data ingestion pipelines, working with large-scale datasets.
- Strong knowledge of SQL , Python , and Spark for data processing, analysis, and pipeline development.
- Familiarity with data modeling techniques, big data technologies, and data warehousing in a cloud environment.
- Excellent communication and collaboration skills, with the ability to work cross-functionally and lead data-driven initiatives.
- Experience with machine learning and advanced analytics workflows using Azure Databricks.
- Familiarity with API integration and real-time data streaming solutions like Azure Event Hubs or Azure Stream Analytics .
- Knowledge of DevOps for data , including automated CI/CD pipelines for data deployments.
Vacancy posted 2 days ago
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