CrawlJobs Logo

Snowflake Data Cloud Architect

Voya Financial

Location Icon

Location:
United States , New York

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

158700.00 - 198370.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

As a Snowflake Data Cloud Architect, you will be responsible for designing and implementing scalable, secure, and high-performance data solutions on Snowflake to support our Investment Management business goals. You will lead the architecture for data platform integration, enabling seamless communication between upstream (custodians, market data providers) and downstream (risk, performance, reporting) systems using event-driven approaches. This role requires strategic thinking, technical leadership, and deep expertise in Snowflake and modern data engineering practices.

Job Responsibility:

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

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
  • Experience Data Quality Tool such as dbt Test, Monte Carlo, SODA
  • Excellent communication skills with ability to collaborate across business and technology teams

Nice to have:

  • SnowPro Core / Advanced Architect certification
  • Experience with Aladdin Data Cloud, Bloomberg DL+, or similar investment data platforms
  • Experience with Data Application development (Streamlit, Dash)
  • Familiarity with BI tools (Power BI, Tableau)
  • Knowledge of FinOps for cost optimization
  • Exposure to Databricks, PySpark, and advanced analytics workflows
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

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Voya Financial - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Snowflake Data Cloud Architect

Cloud Data Platform Architect

Circle K is transforming our Data Engineering and BI platform to match our busin...
Location
Location
United States of America , Charlotte
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of professional experience in designing & architecting Data & Analytics solutions, with a focus on Azure-based platforms and enterprise-scale systems
  • Working experience in designing and architecting solutions that leverage Databricks and Snowflake
  • Hands-on experience with Azure Cloud services (Azure Synapse/SQL Server, ADF or close equivalents)
  • Working experience with Microsoft Power BI (Power BI Platform, AAS/Tabular) integration with Azure-based Platforms
  • Expert understanding of relational databases, Data Warehouse & Data Lake modeling techniques & concepts, ETL/ELT processing patterns, and Big Data technologies
  • Practical experience in designing systems to handle large data volumes
  • Practical experience in designing systems for large-scale data processing with a focus on Azure performance optimization and cost management
  • Working knowledge of Python, PySpark, SQL & T-SQL
  • Working experience in designing and architecting solutions that comply with data security industry standards and regulations, including RBAC, data encryption (GDPR, PCI, etc.), and monitoring
  • Microsoft Azure Certification required
Job Responsibility
Job Responsibility
  • Designing, building, and maintaining robust data platforms and solutions on Azure
  • Optimizing data delivery and ensuring the architecture aligns with business objectives
  • Leading architectural decisions and establishing governance standards
  • Collaborating across teams to ensure seamless data flows and scalable solutions
  • Driving the adoption and usage of Azure Databricks, Snowflake, Microsoft Fabric, and Power BI in the data platform
  • Performing architectural assessments and defining solutions to produce detailed design documents
  • Providing technical direction on Azure platform services
  • Mentoring Data Engineering and Data Science teams
  • Providing technical support for platform performance tuning and optimization activities
  • Participating in the creation and maintenance of technical roadmaps
  • Fulltime
Read More
Arrow Right

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...
Location
Location
India , Chennai; Madurai; Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...
Location
Location
United States , San Francisco
Salary
Salary:
253500.00 - 380500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
  • Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
  • Hands-on experience with Looker or other BI/semantic modeling tools
  • Strong understanding of graph-based data models, recommendation systems, and personalization architectures
  • Expertise in data modeling, metadata management, and semantic layers
  • Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
  • Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
  • Strong foundation in data governance, lineage, cataloging, and compliance frameworks
  • Excellent communication and leadership skills to align technical direction across diverse teams
Job Responsibility
Job Responsibility
  • Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
  • Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
  • Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
  • Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
  • Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
  • Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
  • Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
  • Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
  • Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
  • Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • equity
  • Fulltime
Read More
Arrow Right

Principal Data Architect

We’re seeking a Principal Data Architect to lead strategic data modernization ad...
Location
Location
United States; Canada
Salary
Salary:
170000.00 - 200000.00 USD / Year
terazo.com Logo
Terazo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years designing and delivering enterprise‑scale data solutions (with at least 5 years in cloud platforms such as Azure, Databricks, Snowflake, and/or AWS/GCP)
  • Proven experience working with Cloud Platforms and services
  • Proven experience migrating workloads to Cloud environments
  • Proven track record leading advisory and modernization programs end‑to‑end, from discovery through roadmap and into delivery oversight
  • Deep knowledge of enterprise data reference architecture, including Lakehouse/Medallion patterns, Mesh principles, CDC/streaming, and domain‑oriented data products
  • Expertise in data modeling (dimensional, 3NF, Data Vault), metadata/lineage, data quality, and observability
  • Hands-on governance with Unity Catalog (Databricks) and/or Microsoft Purview
  • pragmatic implementation of RBAC, lineage, and data masking
  • Strong grasp of governance (policy‑driven access, privacy/security, and regulatory expectations in banking such as GLBA, AML/KYC, BCBS 239), FinOps/cost management, and performance/scalability
  • Executive‑level communication and facilitation skills
Job Responsibility
Job Responsibility
  • Partner with Sales/Accounts to shape opportunities, conduct discovery, craft SOWs and proposals, build estimates/approaches, and present to executives
  • Lead executive advisory engagements that connect business value (growth, efficiency, risk) to a pragmatic data modernization strategy and investment plan
  • Define and validate target-state enterprise data architecture. Produce a phased, value‑anchored roadmap with clear outcomes, success metrics, and FinOps/budget guardrails. Build additional architecture artifacts to describe desired-state architecture
  • Design governance frameworks (policy-driven access, quality, lineage, metadata, ownership/stewardship, regulatory alignment) and connect them to measurable outcomes
  • Design reference architectures based on Cloud principles, such as the Well-Architected Framework
  • Own the reference architecture across Lakehouse, Warehouse, and Mesh patterns leveraging industry leading technologies
  • Define design patterns for ingestion, transformation, orchestration, and observability (monitoring, logging, alerting) that scale across domains
  • Mentor and coach architects, engineers, and analysts
What we offer
What we offer
  • Pawreavement & Pawternity Leave: Two days off of work if you bring a new furry friend home, and two days off of work if you have to say goodbye to one
  • Unlimited PTO
Read More
Arrow Right

Enterprise Data Architect

The Enterprise Data Architect (EDA) is responsible for defining and advancing th...
Location
Location
United States , San Mateo
Salary
Salary:
200000.00 - 275000.00 USD / Year
verkada.com Logo
Verkada
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
  • 10+ years of experience in data architecture, data engineering, or enterprise systems integration
  • Proven track record in designing enterprise-level data architectures in complex, multi-system environments
  • Expertise in data modeling, MDM, Meta Data, and data governance frameworks
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks (e.g., Redshift, BigQuery, Snowflake)
  • Experience with integration platforms (ETL/ELT, APIs, event streaming, middleware)
  • Knowledge of data security (tokenization, encryption, access controls) and compliance frameworks
  • Strong ability to influence cross-functional stakeholders and drive consensus across departments
  • Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences
  • Strategic thinker with the ability to balance long-term architecture vision with short-term delivery needs
Job Responsibility
Job Responsibility
  • Define and own the enterprise data strategy in alignment with corporate goals
  • Design and maintain comprehensive data architecture spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems
  • Ensure the architecture supports scalability, performance, and resilience as the company grows
  • Lead initiatives to break down data silos and establish trusted, unified sources of truth across the organization
  • Champion a company-wide data governance framework
  • Facilitate Regular Meetings
  • Drive Cross-Functional Collaboration
  • Identify & Track Data Gaps
  • Coordinate Remediation Efforts
  • Implement Monitoring & Alerts
  • Fulltime
Read More
Arrow Right

Data Architect

We are seeking an experienced Data Architect with deep technical expertise and a...
Location
Location
United States
Salary
Salary:
Not provided
indatalabs.com Logo
InData Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data architecture, data engineering, or database design
  • Proven experience designing large-scale data systems in cloud environments (AWS, Azure, or GCP)
  • Strong expertise in relational and non-relational databases (e.g., PostgreSQL, SQL Server, MongoDB, Snowflake, Redshift, BigQuery)
  • Proficiency in data modeling tools (e.g., ER/Studio, ERwin, dbt, Lucidchart)
  • Hands-on experience with ETL frameworks, data pipelines, and orchestration tools (e.g., Apache Airflow, Fivetran, Talend)
  • Solid understanding of data governance, metadata management, and data lineage tools
  • Experience working with modern data stack technologies (e.g., Databricks, Kafka, Spark, dbt)
  • Strong SQL and at least one programming language (Python, Scala, or Java)
  • Excellent communication and leadership skills
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
Job Responsibility
Job Responsibility
  • Design and implement enterprise-grade data architectures to support analytics, reporting, and operational needs
  • Define data standards, data flows, and governance frameworks across systems and departments
  • Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical data solutions
  • Develop and maintain logical and physical data models using modern modeling tools
  • Oversee data integration strategies including ETL/ELT pipelines, APIs, and real-time data ingestion
  • Evaluate, recommend, and implement new data technologies and tools aligned with industry best practices
  • Ensure data quality, security, and compliance across all platforms
  • Act as a technical mentor to engineering and analytics teams, promoting architectural consistency and knowledge sharing
  • Partner with DevOps and infrastructure teams to ensure optimal deployment, scalability, and performance of data systems
  • Lead initiatives in data warehousing, master data management, and data lakes (on-premise and cloud)
What we offer
What we offer
  • 100% remote with flexible hours
  • Work from anywhere in the world
  • Be part of a senior, talented, and supportive team
  • Flat structure – your input is always welcome
  • Clients in the US and Europe, projects with real impact
  • Room to grow and experiment with cutting-edge AI solutions
Read More
Arrow Right

Enterprise Data Architect

We are seeking a highly skilled and collaborative Data Architect to join our Ent...
Location
Location
United States , Columbus
Salary
Salary:
167000.00 - 184000.00 USD / Year
abercrombie.com Logo
Abercrombie & Fitch Co.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or related field
  • advanced degree preferred, or combination of relevant skills and experience
  • 10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
  • Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
  • Strong understanding of data modeling, metadata management, and data integration
  • Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
  • Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
  • Demonstrable experience with data governance tools, semantic models and frameworks
  • Excellent communication, stakeholder management, and change leadership skills
  • Ability to translate complex technical concepts into actionable business value
Job Responsibility
Job Responsibility
  • In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
  • Own and author data capability maps aligned with business functions
  • Translate business needs into domain-aligned data models
  • Act as a Strategic Though Partner and Enabler of AI/ML initiatives
  • Advise business and technology leaders on AI-readiness of systems and platforms
  • Identify opportunities for data reuse, integration, and optimization
  • Champion the development of data products
  • Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
  • Leverage data to identify trends, risks, and opportunities
  • Serve as subject matter expert and a leader inside our AICoE and CCoE
What we offer
What we offer
  • Incentive bonus program
  • 401(K) savings plan with company match
  • Annual companywide review process
  • Flexible spending accounts
  • Medical, dental and vision insurance
  • Life and disability insurance
  • Associate assistance program
  • Paid parental and adoption leave
  • Access to fertility and adoption benefits through Carrot
  • Access to mental health and wellness app, Headspace
  • Fulltime
Read More
Arrow Right

Technical Architect - Data

We are looking for an experienced Technical Architect (Data) to lead the archite...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
evoluteiq.com Logo
EvoluteIQ
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years in software engineering with 4+ years in data architecture roles
  • Hands-on experience with distributed systems and data processing frameworks (Spark, Flink, Kafka, Airflow, Dagster)
  • Strong Python expertise with libraries such as Pandas, PySpark, NumPy, Dask, FastAPI, and SQLAlchemy
  • Experience with Java/Scala/Python, REST/gRPC APIs, microservices, and event-driven architectures
  • Proficient with data storage systems (PostgreSQL, MongoDB, Cassandra) and cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Familiar with Kubernetes, Docker, Terraform, and CI/CD pipelines for data workloads
Job Responsibility
Job Responsibility
  • Define and evolve data platform architecture for real-time and batch data processing
  • Design scalable, multi-tenant, and cloud-native systems supporting data pipelines and orchestration
  • Guide technology choices across storage, compute, APIs, and orchestration frameworks
  • Ensure production-grade performance, observability, and resilience
  • Partner with product and engineering teams to translate business requirements into scalable solutions
  • Lead architecture reviews, enforce coding and data quality standards, and mentor engineering teams
What we offer
What we offer
  • Opportunity to shape the strategy of a next-gen hyper-automation platform
  • Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
  • Competitive compensation and growth opportunities
  • A culture of innovation, ownership, and continuous learning
Read More
Arrow Right