[Hiring] Senior Data Architect @Recutify

Role Description

• Hands-on experience managing Databricks workspaces, including cluster configuration, user roles, permissions, cluster policies, and applying monitoring and cost optimization for efficient, governed Spark workloads.
• Experience as a Data Architect in a large enterprise, designing and implementing data architecture strategies and models that align data, technology, and business goals with strategic objectives.
• Experience designing data solutions for analytics-ready, trusted datasets using tools like Power BI and Synapse, including semantic layers, data marts, and data products for self-service, data science, and reporting.
• Experience in Github/Git for version control, collaborative development, code management, and integration with data engineering workflows.
• Experience with Azure services (Storage, SQL, Synapse, networking) for scalable, secure solutions, and with authentication (Service Principals, Managed Identities) for secure access in pipelines and integrations.
• Experience in Python (including PySpark) and SQL, applied to developing, orchestrating, and optimizing enterprise-grade ETL/ELT workflows in a large-scale cloud environment.
• Experience building scalable data pipelines with Azure Databricks, Delta Lake, Workflows, Jobs, and Notebooks, plus cluster management. Extending solutions to Synapse Analytics and Microsoft Fabric is a plus.
• Certification in The Open Group Architecture Framework (TOGAF).
• Use of AI - Experienced in using AI for code generation, data analysis, automation, and enhancing productivity in data engineering workflows.
• Direct, hands-on experience performing business requirement analysis related to data manipulation/transformation, cleansing and wrangling.
• Experience and strong technical knowledge of Microsoft SQL Server, including database design, optimization, and administration in enterprise environments.
• Experience building scalable ETL pipelines, data quality enforcement, and cloud integration using TALEND technologies.
• Experience in data governance, security, and metadata management within a Databricks-based platform.
• Skilled in building secure, scalable RESTful APIs for data exchange, with robust auth, error handling, and support for real-time automation.
• Experience in Message Queueing Technologies, implementing message queuing using tools like ActiveMQ and Service Bus for scalable, asynchronous communication across distributed systems.
• Experience working with cross-functional teams to create software applications and data products.
• Experience working with ServiceNow - Azure based Data Management Platform Integrations.

Qualifications

• Experience as a Data Architect in a large enterprise.
• Certification in The Open Group Architecture Framework (TOGAF).

Requirements

• Hands-on experience managing Databricks workspaces.
• Experience designing data solutions for analytics-ready datasets.
• Experience in Github/Git for version control.
• Experience with Azure services for scalable solutions.
• Experience in Python and SQL for ETL/ELT workflows.
• Experience building scalable data pipelines with Azure Databricks.
• Experience in data governance and security.
• Experience in Message Queueing Technologies.

Company Description