▷ Only 24h Left! Principal Architect

About the Company - Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, youʼll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce. Weʼre Great Place to Work-Certified™.

About the Role - As a 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 Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.

Responsibilities

• Work as a principal advisor on data architecture, across various data requirements, aggregation – data lake – data models – data warehouse etc.
• Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling. Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects.
• Suggest best modelling approach to the client based on their requirement and target architecture. Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details.
• Profile the Data sets to generate relevant insights. Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns.
• Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.
• Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform.
• Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.
• Guide / mentor team members, and review artifacts.
• Contribute to the overall data strategy and roadmaps.
• Propose and execute technical assessments, proofs of concept to promote innovation in the data space.

Required Skills