Architect-Data Modeling
Chennai, Hyderabad, Bangalore
JOB DESCRIPTION
Job Title: Architect - Data Modeling
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, youll 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.
Were Great Place to Work-Certified. Working at Tiger Analytics, youll be at the heart of an AI revolution. Youll 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 an 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 Data
Modeling Architect as demanded by each project to define, design, and deliver actionable insights.
On a typical day, you might
Engage the clients & understand the business requirements to translate those into data
models.
Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying
best practices to provide business insights.
Create and maintain the Source to Target Data Mapping document that includes
documentation of all entities, attributes, data relationships, primary and foreign key
structures, allowed values, codes, business rules, glossary terms, etc.
Gather and publish Data Dictionaries.
Involve in maintaining data models as well as capturing data models from existing
databases and recording descriptive information.
Build data warehouse & data marts (on Cloud) while performing data profiling and quality
analysis.
Use version control to maintain versions of data models.
Design and develop data extraction and integration code modules.
Partner with the data engineers & testing practitioners to strategize ingestion logic,
consumption patterns & testing.
Ideate to design & develop the next-gen data platform by collaborating with crossfunctional
stakeholders.
Involve in monitoring the project progress to keep the leadership teams informed on the
milestones, impediments, etc.
Coach team members, and review code artifacts.
EXPERTISE AND QUALIFICATIONS
What do we expect
6+ years of experience in Data space.
Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)
Real-time experience working in OLAP & OLTP database models (Dimensional models).
Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling.
Also, on any ETL tool, Data Governance, and Data quality.
Eye to analyze data & comfortable with following agile methodology.
Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)
Enthuse to coach team members & collaborate with various stakeholders across the
organization and take complete ownership of deliverables.
Job Types: Full-time, Permanent
Pay: 8,
- 70 - 57,509.64 per month
Experience: - total work: 6 years (Preferred)
Work Location: In person
