Principal Architect - Azure Synapse Analytics (17-22 yrs)

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modelled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centres across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce. We're Great Place to Work-Certified . Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

Curious about the role ? What your typical day would look like ?

As a Synapse - Principal Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization;

- Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might :

- Identify the right technical stack and tools that best meets the client requirements.

- Work with the client to define the scalable architecture.

- Collaborate with data engineers, data scientists, and other stakeholders to execute the data strategy.

- Implement the Synapse best practices, data quality and data governance.

- Define the right data distribution/consumption pattern for downstream systems and consumers.

- Own end-to-end delivery of the project and design and develop reusable frameworks.

- Support business proposals by providing solution approaches, detailed estimations, technical insights and best practices.

- Guide /mentor team members, and create the technical artifacts.

- Demonstrate thought leadership.

- Collaborate with the clients to understand the overall requirements and create the robust, extensible architecture to meet the client/business requirements.

- Design end to end solution along with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies.

- Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.

EXPERTISE AND QUALIFICATIONS :

- A total of 15+ years of professional experience, including a minimum of 5 years of experience specifically in Architect roles focusing on Analytics solutions.

- Additionally, a minimum of 3+ years of experience working with Cloud platforms, demonstrating familiarity with Public Cloud architectures.

- Good hands-on experience writing procedures & scripts using T-SQL, Python.

- Good understanding of RDBMS systems, distributed computing on cloud with hands-on experience on Data Modelling.

- Experience in large scale migration from on-prem to Azure cloud.

- Good understanding of Microsoft Fabric

- Excellent understanding of Database and Datawarehouse concepts

- Experience in working with Azure DevOps

- Excellent communication & interpersonal skills

- Experience in implementing Modern Data Platforms/Data Warehousing solutions covering all major data solutioning aspects like Data integration, harmonization, standardization, modelling, governance, lineage, cataloguing, Data sharing and reporting

- Should have a decent understanding and working knowledge of the ADF, Logic Apps, Dedicated SQL pools, Serverless SQL pool & Spark Pools services of Azure Synapse Analytics focussed on optimization , workload management , availability, security, observability and cost management strategies