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. With experience range of 15 Years or above 15 years.

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.

Interested People can DM or share your updated resumes to chiranjeevi.chat@tigeranalytics.com