Snowflake Data Architect Job at NTT DATA (Bangalore)

Snowflake Data Cloud Architect

As a Snowflake Data Cloud Architect, you will be responsible for designing and i...

Location

United States , New York

Salary:

158700.00 - 198370.00 USD / Year

Voya Financial

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, MIS, Engineering, or related field
10+ years of experience in data architecture/engineering, with 3+ years focused on Snowflake
Strong background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
Hands-on experience with Snowflake architecture (warehouses, streams, tasks, Snowpark)
SQL, Python
experience with DBT
Event-driven technologies (Kafka / Azure Event Hub)
Web API development (Flask / FastAPI)
Experience implementing data security measures and compliance frameworks
Experience building data solutions with AI tools like Github Copilot

Job Responsibility

Architect and Implement Snowflake Solutions
Enable Event-Driven Integration
Data Governance and Compliance
Technical Leadership
Innovation and Best Practices

What we offer

Health, dental, vision and life insurance plans
401(k) Savings plan – with generous company matching contributions (up to 6%)
Voya Retirement Plan – employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day
Paid volunteer time — 40 hours per calendar year

Fulltime

Data Architect with Data Modelling

Role: Data Architect with Data Modelling. Location: Remote. FULL TIME ONLY.

Location

United States

Salary:

Not provided

Realign

Expiration Date

Until further notice

Requirements

Excellent data modelling skills (Dimensional and 3NF)
Data modelling must have conceptual model showing core entities from CRM, e commerce, and finance systems, include relationships and grain for each table
Catalog federation or query federation
Must have implemented streaming (autoloader, CloudFiles, Spark Streaming, Event Hubs/Kafka)
Strong in Delta tables in Databricks
Extensive experience translating business requirements to data design requirements
Extensive data flow documentation experience
Azure experience - ADLS, Azure SQL
Snowflake or Databricks design experience
Excellent Communication skills for both technical and business communications

Job Responsibility

Excellent data modelling skills (Dimensional and 3NF)
Data modelling - must have created conceptual model showing core entities from CRM, e commerce, and finance systems, include relationships and grain for each table
Catalog federation or query federation
Must have implemented implement streaming (autoloader, CloudFiles, Spark Streaming, Event Hubs/Kafka)
Strong in Delta tables in Databricks
Extensive experience translating business requirements to data design requirements
Extensive data flow documentation experience
Azure experience - ADLS, Azure SQL
Snowflake or Databricks design experience
Excellent Communication skills for both technical and business communications

Fulltime

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

Data Integration Architect – Enterprise Data Platforms

We are seeking a highly skilled Senior Data Engineer with strong expertise in da...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

7+ years of experience in Data Engineering and Data Integration
Strong expertise in Data Warehousing concepts and architecture
Hands-on experience with ETL/ELT tools (SSIS preferred)
Strong proficiency in SQL Server or other RDBMS
Experience building and maintaining data pipelines
Experience implementing data quality frameworks (QA/QC)
Hands-on experience with cloud data platforms (e.g., Snowflake)
Experience with BI tools (e.g., Power BI)
Experience with API integrations (e.g., MuleSoft)
Strong communication and stakeholder management skills

Job Responsibility

Define and implement data integration strategy, architecture, and roadmap (batch vs real-time, API vs ETL)
Design, develop, and maintain scalable data pipelines for internal and external data sources
Build and manage ETL/ELT processes using tools such as SSIS and modern data platforms
Develop API-based integrations and data transformation workflows
Ensure data quality through validation, cleansing, and reconciliation processes
Optimize data workflows for performance, scalability, and reliability
Implement monitoring, logging, error handling, and alerting mechanisms for data pipelines
Maintain documentation for data flows, mappings, and transformation logic
Ensure compliance with data governance, security, and regulatory standards (PII, etc.)
Collaborate with business and technical stakeholders to understand data requirements and deliver solutions

Pre-Sales Solutions Architect - Data Technologies

Location

United States of America , Bedminster; Chicago

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, architecture, or technical consulting
Degree in Engineering (Computer Science, Telecommunications), Mathematics, Statistics, Physics, or a related technical field
Solid hands-on background in data architecture or engineering
Strong familiarity with at least one major cloud provider (AWS, Azure, or GCP)
Strong familiarity with modern ISVs such as Snowflake or Databricks
Ability to engage confidently with technical and business stakeholders at all levels
Ability to identify and qualify new opportunities
Familiarity with AI/ML & GenAI
Experience creating solution blueprints
Cloud or data platform certifications (Snowflake, AWS, Azure, GCP, Databricks)

Job Responsibility

Partner with clients and internal account teams to uncover business priorities and strategic goals
Design and present fit-for-purpose data architectures
Own the technical workstream of the sales cycle
Develop a strong command of SDG's full Data Technologies portfolio
Stay current with the evolving data and AI technology landscape
Represent SDG at industry events

What we offer

Full-time employment in a growing high-tech industry
Customized career plans
Competitive base salary
401(k) retirement plan with employer match
Medical, Dental, Vision, and Disability coverage
3+ weeks of paid vacation
Flexible holiday schedule
Hybrid work model with periodic travel
Welcoming, collaborative, and inclusive culture

Fulltime

Senior Data Architect

We have an exciting opportunity for a Data Architect to join our growing Data an...

Location

United Kingdom , Glasgow or Newbury / Reading, Berkshire

Salary:

Not provided

FSP

Expiration Date

Until further notice

Requirements

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes
Proven expertise designing cloud-native data platforms across Azure, GCP or AWS
Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling)
Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles is beneficial
Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc
Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption
Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design
Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value
Experience with infrastructure as code, especially Terraform, to ensure architectural consistency and deployment scalability
Able to inspire, guide and elevate cross-functional engineering teams

Job Responsibility

Define, own and evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives
Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models
Establish governance standards, frameworks and principles that guide engineering teams
Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence
Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality
Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities
Proactively share insights and drive innovation across the wider engineering team

Fulltime

New

Data Architect

We are looking for an experienced Data Architect to design and enhance modern da...

Location

United States , Needham

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of experience in data architecture, data engineering, or a closely related technical role
Strong hands-on experience with Microsoft Azure and Windows Azure services for cloud-based data solutions
Proven expertise in Snowflake for data warehousing, optimization, and large-scale data management
Proficiency in Python and Apache Spark for data processing, transformation, and workflow development
Solid background in ETL design, implementation, and support for enterprise data environments
Experience designing scalable data models and integrating structured and unstructured data sources
Ability to work effectively in a regulated industry such as banking or financial services is preferred

Job Responsibility

Design and maintain enterprise data architecture that supports secure, scalable, and efficient data operations across banking platforms
Build and optimize ETL pipelines to ingest, transform, and deliver data from multiple sources into cloud-based analytical environments
Develop robust data solutions using Azure services, Snowflake, Python, and Apache Spark to meet business and reporting needs
Create data models and architectural standards that improve consistency, accessibility, and long-term maintainability of data assets
Partner with engineering, analytics, and business teams to translate data requirements into reliable technical solutions
Monitor data platform performance and implement improvements that strengthen processing speed, quality, and system reliability
Establish best practices for data governance, documentation, and architecture design to support regulatory and operational expectations
Troubleshoot complex data issues and provide technical guidance on integration, transformation, and storage strategies

What we offer

Medical, vision, dental, and life and disability insurance
Enrollment in company 401(k) plan

New

Data Architect Sr. Advisor

Location

India , Hyderabad

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years of experience Snowflake data models, data ingestion, views, stored procedures, and complex queries
Experience in performing architect role for entire Snowflake environment, capable for handling multiple project parallely
Good experience with Manufacturing domain and handling SAP data
Strong knowledge of Snowflake’s features and capabilities
Hands-on experience in SQL and Informatica PowerCenter / IICS ETL tools
Experience with cloud platforms (AWS, Azure, or GCP)
Expertise in data warehousing, ETL processes, and data modelling

Job Responsibility

Design and implement data solutions leveraging Snowflake
Develop and maintain data pipelines and ETL processes within Snowflake
Design and implement security models for Snowflake environments
Recommend and design migrations from legacy systems to Snowflake
Develop and provide future state roadmaps for Snowflake adoption
Configure and maintain Snowflake environments for optimal performance
Tune Snowflake queries and optimize performance for large-scale data processing
Identify and implement monitoring and maintenance best practices for Snowflake
Manage the Snowflake ecosystem and associated tools
Collaborate with clients, stakeholders, and other teams to gather requirements and deliver solutions

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Snowflake Data Architect

Job Description

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