Principal Azure Big Data Architect

About the role:

We are looking for a Pr. Data Architects to be based out of our Chennai office or Bangalore or Pune or Hyderabad or Delhi NCR. This role involves a combination of hands-on contribution, customer engagement and technical team management. As a Data Architect, you will

• Collaborate with architects providing directions & guidance to design and maintain data management solutions on the Azure Cloud using various PaaS services, Big data technologies and open-source frameworks
• Lead initiatives to build practice-level capabilities not limited to creating POVs, case studies,

building/enhancing accelerators, mentoring, brainstorming, partnership (Azure, Databricks), validate architectural patterns & recommendations and representing the practice in technical summits.

• Manage the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery & assessment, architectural alignment & design, define standards, and best practices, guide architects & team during implementation and deployment.
• Drive proposals (RFPs/RFIs), and opportunities from the technical solution standpoint.
• Collaborate with a team of business domain experts, data scientists and application developers to develop solutions.
• Explore and learn new technologies for creative business problem-solving and mentor a team of Data Engineers

Required Experience, Skills & Competencies:

• Implementation experience of various data management projects but not limited to data platform modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handling streaming, unstructured data, Gen AI integration
• Experience in designing well-architected data management solution, defining standards & best practices for data security, data classification, data governance (quality, lineage), data sovereignty, compliance, optimization, and cost management
• Expertise in conducting discovery & assessment workshops that involves multiple stakeholders, driving discussions, capturing pain-points/wish lists, brainstorming, align on technical architecture and create a roadmap for data lake/lake house implementation.
• Strong hands-on experience in implementing data lake using technologies such as Databricks Spark, Microsoft Fabric, Data Factory, Azure Data Lake
• Excellent understanding of various architectural patterns to ingest, and process data from batch and streaming data sources
• Strong programming skills in Python/Scala, Pyspark, SQL
• Ability to understand data (attributes, metrics), relate to reporting/analytical use- cases of various business functions at a high level and include those nuances in the design for scalability, and availability
• Hands-on experience or exposure to NoSQL databases, data modeling
• Experience in setting up consumption layer and serving data assets in a secure way for BI reporting, Adhoc analytics, DS/ML use-cases, and external users.
• Must have Databricks solution Architect certification.

IF INTRESTED PLEASE SHARE YOUR RESUME TO THE BELOW MAIL ID

lakshmipriya.pan@tigeranalytics.com