Data Architect

Job Category: Current openings
Job Type: Full Time
Job Location: India, Hybrid
Experience: 15+ Years

Job Description:

The Azure Data and Enterprise Architect Azure will provide technical leadership primarily on Azure Data Services preferably along with other Azure Services

Client Projects would typically include new implementations, cloud migrations, governance, and platform strategy as well as a custom solution delivery provided by development or configuration tools. S/he will be a Subject Matter Expert (SME) on Azure, preferably with DevOps within the division, and will be expected to champion the Organizational focus on Microsoft Azure.

The Azure Data Architect may also be engaged with prospective customers in the sales/Presales cycle to provide technical demonstrations and help support the overall sales/presales effort.

Key Responsibilities:

• Conceptualize the design and develop technical solutions for Azure Databricks architecture configuration.
• Implement Databricks Lakehouse architecture and provide technical leadership to support successful understanding, evaluation, and adoption of Databricks.
• Manage Databricks infrastructure and collaborate with various teams to ensure it integrates seamlessly with all components including network, security, messaging, and remote access.
• Troubleshoot and resolve Databricks environment performance issues, connectivity issues, security issues.
• Work with internal and external groups to set and maintain a strategy for use and inclusion of Unity Catalog.
• Implement monitoring & alerting solutions, standardize access patterns, and develop solutions around high-availability and disaster-recovery.
• Develop and maintain documentation for Databricks solutions, including design documents, data dictionaries and standard operating procedures.
• Develop techniques, methods, design approaches for organizing and enriching both structured and unstructured data.
• Define & set standards, guidelines including position on what technologies should be used for what capabilities (target states, reference architecture / and technologies for various data and analytics capabilities).
• Design and implement data models and reusable services to securely provide availability of data assets.
• Mentor other team members, cross-trains, and provides guidance

Requirements (Good to have):

• 8+ years of overall experience in Data Warehouse architecture, design, and data modeling patterns (on-premises or cloud)
• Experience with Databricks Lakehouse Architecture.
• 3+ Years’ Experience Managing and Supporting Databricks and Azure Cloud.
• Proven capabilities in architecting data in assessing platform capabilities integrated with security and privacy under data governance umbrella.
• Deep understanding of Master Data, Integration, Data Quality and Security.
• Demonstrated experience in providing data solutions design to enable better data within the organization
• Data modeling and information classification expertise at the enterprise level. Strong knowledge of information management concepts, data lake house, data analytics platforms and relational database engines.
• Experience in successfully rolling out MDM, BI, and data warehousing implementations.
• Excel in teamwork, critical thinking, adaptability, problem analysis, initiative, communication skills, risk taking and planning & organizing