587 Data Architect jobs in Bengaluru

About the Company

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role -

Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API-based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact; drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI-driven solutions.
• Collaborate with cross-functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Qualifications :

• Bachelor’s/master’s in computer science, IT, or related field.
• 7-12 years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI-driven mindset.
• Hands-on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
• Experience with data lake frameworks and serverless technologies.

Preferred

• Familiarity with data modelling, Python, Pyspark and warehousing best practices.
• Exposure to MLOps, AI/ML pipelines, or deploying AI models.
• Snowflake or relevant cloud certifications.

About the Company

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role -

Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.g., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API-based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact; drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI-driven solutions.
• Collaborate with cross-functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Qualifications :

• Bachelor’s/master’s in computer science, IT, or related field.
• 7-12 years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI-driven mindset.
• Hands-on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex).
• Experience with data lake frameworks and serverless technologies.

Preferred

• Familiarity with data modelling, Python, Pyspark and warehousing best practices.
• Exposure to MLOps, AI/ML pipelines, or deploying AI models.
• Snowflake or relevant cloud certifications.

SNOWFLAKE ARCHITECT

Location: Bengaluru, Pune, Gurugram, Kolkata, Chennai and Hyderabad

Primary Roles and Responsibilities :

• Working experience in Snowflake;
  use of Snow SQL CLI, Snow Pipe creation of custom functions and Snowflake stored producers, schema modelling, performance tuning etc.
• Expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Task Orchestration implementing complex stored Procedures and standard DWH and ETL concepts
• Extensive experience in DBT CLI, DBT Cloud, GitHub version control and repository knowledge, and DBT scripting to design & develop SQL processes to perform complex ELT processes and data pipeline build.
• Ability to independently envision and develop innovative ETL and reporting solutions and execute them through to completion.
• Triage issues to find gaps in existing pipelines and fix the issues
• Analyze the data quality, align the technical design to data governance, and address all the required non-business but operational requirements during the design and build of data pipelines
• Develop and maintain data pipelines using DBT
• Provide advice, guidance, and best practices around Snowflake
• Provide guidance on moving data across different environments in Snowflake
• Create relevant documentation around database objects
• Troubleshoot production support issues post-deployment and come up with solutions as required
• Good Understanding and knowledge of CI/CD process and GitHub->
  DBT->
  Snowflake integrations.
• Advance SQL knowledge and hands-on experience in complex query writing using Analytical functions, Troubleshooting, problem-solving, and performance tuning of SQL queries accessing data warehouse as well as Strong knowledge of stored procedures.
• Experience in Snowflake advanced concepts such as resource monitors, virtual warehouse sizing, query performance tuning, zero-copy clone, time travel and understanding how to use these features
• Help joiner team members to resolve issues and technical challenges.
• Drive technical discussions with client architect and team members
• Good experience in developing scripts for data auditing and automating various database platform manual activities.
• Understanding of the full software lifecycle and how development teams should work with DevOps to create more software faster.

Excellent communication, working in Agile Methodology/Scrum.

Skills and Qualifications :

• Bachelor's and/or master’s degree in computer science or equivalent experience.
• Must have total 13+ yrs. of IT experience and 5+ years' experience in data Integration, ETL/ETL development, and database design or Datawarehouse design
• Deep understanding of Star and Snowflake dimensional modelling.
• Strong knowledge of Data Management principles
• Working experience in Snowflake;
  use of Snow SQL CLI, schema modelling, performance tuning etc.
• Develop and maintain data pipelines using DBT
• Experience with writing complex SQL queries, especially dynamic SQL
• Expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Task Orchestration implementing complex stored Procedures and standard DWH and ETL concepts
• Experience with performance tuning and optimization of SQL queries
• Experience of working with Retail Data
• Experience with data security and role-based access controls
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
• Should have experience working in Agile methodology
• Strong verbal and written communication skills.

Strong analytical and problem-solving skills with high attention to detail.

Role - Data Solution Architect

Required Technical Skill Set - Microsoft Fabric OneLake, PySpark, SQL, Data Modeling, Real-Time Analytics

Location of Requirement - Kolkata/Bangalore

Expectations from the Role

1) Lead the architecture and design of enterprise-scale data solutions on Microsoft Fabric.

2) Define end-to-end data strategy including Lakehouse, Warehouse, Real-Time Analytics, and OneLake integration

3) Collaborate with stakeholders to translate business needs into scalable, cost-optimized Fabric solutions.

4) Implement data models, partitions, and performance tuning in Fabric and Synapse.

5) Stay ahead of emerging Fabric and Azure capabilities and define best practices.

Company Profile:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Some company highlights:

● Quantiphi has seen 2.5x growth YoY since its inception in 2013

● Winner of the "Machine Learning Partner of the year" award from Google for two consecutive years - 2017 and 2018

● Winner of the "Social Impact Partner of the year" award from Google for 2019

● Headquartered in Boston, with 700+ data science professionals across different offices

Role & Responsibilities:

● Data Modeler with strong Conceptual, Logical and Physical Data Modeling skills, having

experience in requirements gathering, creating data mapping documents, writing functional

specifications, queries for Data Warehouse, Data Lake, Lakehouse, DataMart, OLTP, OLAP

applications.

● Extensive experience in Entity-Relational, Data Vault and Dimensional Data modeling for creating

ER Diagrams using Erwin, ER/Studio, Enterprise Architect and PowerDesigner data modeling

tools.

● Integral part of the Data Management team performing Data Extraction, Data Analysis, Data

Cleansing, Data Mapping and Data Profiling exercises using Informatica Analyst and other

profiling tools.

● Worked on industry standard models such as ACORD for insurance,

● Involved in the Database Design for Operational Data Store working with DBAs and ETL

Architects using Data Vault Modeling approach.

● Design, develop, and implement highly scalable data capture and transformation processes

● Suggest best modeling 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

● Define Data Modelling Best Practices and ensure implementation of Best Practices across

projects

● Optimize the Data Models and work with the Data Engineers to define the Ingestion logic,

ingestion frequency and data consumption patterns

● Work with QE team to define the right testing strategy

● 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

● Create effective ETLs/ELTs to move large volumes of data from various operational systems to

dimensional data models for analytics consumption

● Act as principal designer and reviewer for new data models, make data architectural decisions

● Work with the database engineering and DBAs to create optimal physical data models (transactions,

normalized and dimensional models etc.)

● Manage data modeling repository, and data modeling process and support model-driven

development

● Define and govern data modeling/design standards, tools, best practices, and related development

methodologies

● Champion Data Lineage, Metadata Management, and Data Quality Analysis processes

● Collaborate with Business Data Analysts to design and model Business Intelligence Semantic layers for

optimized information access

● Expand and grow data existing platform capabilities to solve new data problems and challenges

● Ensure all automated processes preserve data integrity by managing the alignment of data availability

and integration processes

● Identify opportunities for new data acquisition and new uses for existing data resources

● Research and make recommendations for new data management technologies and software

engineering practices. Collaborate on decisions around the use of new tools and practices

● Define data retention policy, establish data governance best practices, and create automated anomaly

detection services

● Document and update business continuity and disaster recovery procedures

● Engage in ongoing collaboration with data architects, modelers, and other members to achieve

common goals

● Provide guidance to development teams regarding best practices and design patterns for analytics

solutions. Coach and provide guidance to junior team members

● Produce and maintain support documentation for ongoing operations.

● Act as support to troubleshoot and resolve technical issues with production data models and services

● Excellent communication, influencing, and facilitation skills, in particular for

problem-solving/troubleshooting activities

● Experience in client-facing roles

● Assertiveness in dealing with people at all levels within and outside of the delivery organization,

including partner and client organizations

Required Skills:

● 10+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services (Oracle, IMB DB2, GCP)

● Solid understanding of data warehousing principles, architecture, and its implementation in complex environments.

● Good experience in OLTP and OLAP systems

● Excellent Data Analysis skills

● Good understanding of one or more ETL tools and data ingestion frameworks.

● Experience as a designer of complex Dimensional data models for analytics services

● Experience with various testing methodologies and user acceptance testing.

● Experience on one or more cloud platforms (e.G. AWS, Azure, GCP)

● Understanding of Data Quality and Data Governance

● Understanding of Industry Data Models

● Experience in leading the large teams

● Experience with processing large datasets from multiple sources.

● Ability to operate effectively and independently in a dynamic, fluid environment.

● Good understanding of agile methodology

● Strong verbal and written communications skills with experience in relating complex concepts to

non-technical users.

● Demonstrated ability to exchange ideas and convey complex information clearly and concisely

● Proven ability to lead and drive projects and assignments to completion

● Exposure to Data Modeling Tools

○ ERwin

○ Power Designer

○ Business Glossary

○ ER/Studio

○ Enterprise Architect,

○ MagicDraw

About the Company

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role -

Looking for an IT Professional with 4-12 years of hands-on Snowflake Data Cloud experience to lead the design, implementation, and optimization of scalable data solutions. The ideal candidate excels in Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts.

Key Responsibilities:

• Architect and deliver end-to-end data solutions on Snowflake.
• Demonstrate deep understanding of data warehousing concepts and work with structured, semi-structured, and unstructured data.
• Apply deep expertise in Snowflake architecture (compute, storage, security, data sharing).
• Use Snowflake native load utilities (e.G., Snowpipe, COPY INTO) for data ingestion and transformation.
• Develop and manage API-based integrations and automation.
• Lead data governance, quality, security, and compliance efforts.
• Optimize performance and manage costs.
• Oversee Snowflake infrastructure provisioning, scaling, and monitoring.
• Act as primary stakeholder contact;
  drive meetings and translate business needs.
• Foster innovation in data architecture, analytics, and AI-driven solutions.
• Collaborate with cross-functional teams.
• Stay current on Snowflake advancements, especially AI features like Cortex.
• Proactively perform POCs for new Snowflake features & drive adoptions.
• Leverage data lake frameworks & serverless technologies

Qualifications :

• Bachelor’s/master’s in computer science, IT, or related field.
• 7-12 years of Snowflake Data Cloud experience.
• Deep understanding of Snowflake architecture and ecosystem.
• Strong grasp of data warehousing concepts and diverse data structures.
• Expertise in Snowflake native load utilities.
• API integration and automation experience.
• Data governance, security, and compliance background.
• Performance optimization and cost management skills.
• Experience with Snowflake infrastructure management.
• Excellent communication and stakeholder management.
• Innovative, AI-driven mindset.
• Hands-on Python for data engineering/automation.
• Knowledge of AI, LLMs, and Snowflake AI features (e.G., Cortex).
• Experience with data lake frameworks and serverless technologies.

Preferred

• Familiarity with data modelling, Python, Pyspark and warehousing best practices.
• Exposure to MLOps, AI/ML pipelines, or deploying AI models.
• Snowflake or relevant cloud certifications.

Data Architecture experience in Data Warehouse, Snowflake+ DBT

Snowflake + snowflake advanced certification

- Oversees and designs the information architecture for the data warehouse, including all information structures i.E. staging area, data warehouse, data marts, operational data stores, oversees standardization of data definition, Oversees development of Physical and Logical modelling.

- Deep understanding in Data Warehousing, Enterprise Architectures, Dimensional Modelling, Star & Snow-flake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support etc.

- Significant experience in working as a Data Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical & dimensional models).

- Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI platform, analytics models platforms and ETL tools

Essential job tasks

Data Architecture experience in Data Warehouse, Snowflake.

- Oversees and designs the information architecture for the data warehouse, including all information structures i.E. staging area, data warehouse, data marts, operational data stores, oversees standardization of data definition, Oversees development of Physical and Logical modelling.

- Deep understanding in Data Warehousing, Enterprise Architectures, Dimensional Modelling, Star & Snow-flake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support etc.

- Significant experience in working as a Data Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical & dimensional models).

- Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI platform, analytics models platforms and ETL tools

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