Principal Architect

1 week ago

Bengaluru, Karnataka, India Tiger Analytics Full time
Job Description

Chennai | Hyderabad | Bangalore

Tiger Analytics is a global AI and analytics consulting firm.

With data and technology at the core of our solutions, our + 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, you'll 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.

We're Great Place to Work-CertifiedTM. 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 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.

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.
Job Requirement

What do we expect? Skills that we'd love


Minimum 15 years of experienceDeep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.

Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.
Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)

  • Good understanding of Relational, Dimensional, Data Vault ModellingExperience in implementing 2 or more data models in a database with data security and access controls.
Good experience in OLTP and OLAP systemsExcellent Data Analysis skills with demonstrable knowledge on standard datasets and sources.
Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)Understanding of DevOps processesHands-on experience in one or more Data Modelling ToolsGood understanding of one or more ETL tool and data ingestion frameworksUnderstanding of Data Quality and Data GovernanceGood understanding of NoSQL Database and modeling techniquesGood understanding of one or more Business DomainsUnderstanding of Big Data ecosystemUnderstanding of Industry Data ModelsHands-on experience in PythonExperience in leading the large and complex teamsGood understanding of agile methodologyYou are important to us, let's stay connected


Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal opportunity employer.

Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.


Note:
The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

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