Snowflake Architect or Data Architect Job at Enormous Enterprise (Houston)

Snowflake Data Architect

The Snowflake Data Architect role involves designing and implementing data solut...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Engineering / Architecture roles
Proven experience with Azure Data Services including: Azure Data Factory, Synapse Analytics, Data Lake Storage
Azure SQL DB, SQL Managed Instance, Cosmos DB
Azure Databricks or PySpark
Strong understanding of Data Warehousing concepts (star schema, dimensional modeling, partitioning, indexing, slowly changing dimensions)
Hands-on with Data Lake architecture, schema evolution, and Delta Lake
Experience with AI/ML pipelines and integrating Generative AI models (OpenAI, Azure ML, LangChain, etc.)
Proficient in SQL, Python, Scala and PySpark for data transformation
Experience in real time data processing using Kafka or Azure Event Hub
Solid understanding of DevOps and CI/CD pipelines for data workloads

Job Responsibility

Design and implement end-to-end data architecture using Azure Data Services (e.g., Azure Data Factory, Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and Databricks)
Architect and optimize Data Warehousing, Data Mesh and Data Lake solutions to support both batch and real-time data processing
Define and enforce data governance, security, and compliance standards aligned with enterprise policies
Integrate data across multiple sources including structured, semi-structured, and unstructured data
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
Drive adoption of AI/ML and Generative AI capabilities (e.g., Azure OpenAI, Cognitive Services, Fabric AI workloads) for predictive and generative use cases
Lead performance tuning, monitoring, and operational support of the data platform
Mentor and guide data engineers, developers, and analysts on best practices

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

Principal Data Architect

The Principal Data Architect will lead the design, modernization, and long-term ...

Location

United States , King of Prussia

Salary:

Not provided

David's Bridal

Expiration Date

Until further notice

Requirements

7–10+ years experience in enterprise data engineering, architecture, or platform ownership roles
Proven expertise in: Snowflake (design, security, cost management, workload optimization)
SQL Server (schema design, tuning, stored procedures, indexing)
Advanced SQL capability with demonstrated experience optimizing large, complex, high volume workloads
Strong experience implementing and supporting Power BI enterprise deployments (governance, semantic layer design, modeling patterns)
Hands-on experience with modern ELT tooling and orchestration (dbt, Airflow, Fivetran, Stitch, Matillion, Databricks, etc.)
Demonstrated eCommerce data experience, ideally including Shopify — understanding of order lifecycle, OMS, payments, fulfillment, customer segmentation, and attribution
Experience building scalable architecture frameworks aligned to business intelligence, operational reporting, and AI/ML readiness

Job Responsibility

Define and own the enterprise data architecture roadmap, ensuring scalability, maintainability, and alignment with business strategy
Design and implement sophisticated data models supporting commerce, customer lifecycle, finance, supply chain, inventory, and digital transformation initiatives
Build and optimize secure data pipelines integrating Shopify and multiple enterprise systems into a unified Snowflake and SQL Server environment
Lead standards for data governance, privacy, lineage, cataloging, quality, and master data management
Drive best practices for Power BI semantic models, architecture, and performance governance across business functions
Provide architectural oversight for ELT frameworks, automation, and orchestration tools (dbt, Airflow, Matillion, Fivetran, etc.)
Partner with engineering, data, product, and business teams to translate requirements into scalable, future-proof solutions
Mentor internal data engineering teams and influence leadership on data strategy and platform investment decisions
Serve as the senior technical authority for data architecture across the organization

What we offer

Generous Dream Maker Discount After First Pay Period
Referral Incentive Program
Dayforce Wallet – Get Paid Early!
Health/Dental/Vision Insurance
401K Program
Paid Vacation, Wellness Days & Holidays, including your Birthday off
Pet Benefits

Fulltime

Solution Architect - Data Platform Modernization

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years designing enterprise data platforms, Lakehouse / medallion architectures, and scalable analytics ecosystems in regulated industries
Deep experience defining Bronze, Silver, and future Gold / ODS patterns using Databricks, ADLS/S3, Delta Lake, DBT, orchestration, and secure consumption layers
Strong capability in canonical data modeling across Policy, Claims, Billing, Customer, and reference/master data domains
Experience with architecture decisions for performance, partitioning, lineage, metadata, resilience, disaster recovery, and environment strategy
Able to align enterprise standards, security controls, DevSecOps, and future extensibility for AI/ML, self-service analytics, and downstream integrations

Job Responsibility

Define the end-to-end migration strategy across
Own the target state architecture across data ingestion, storage, transformation, consumption, security, and observability
Create and maintain high-level and detailed architecture diagrams, migration wave plans, and reference patterns
Align architecture with enterprise standards, security, compliance, and cloud governance
Design the Databricks architecture: workspaces, clusters, jobs, Delta Lake layers (bronze/silver/gold), and integration with Azure services
Define integration patterns with Azure services such as ADLS, ADF/Synapse, Key Vault, Azure DevOps, and monitoring/log analytics
Select and standardize data access methods (e.g., external tables, views, direct connections, APIs) for downstream consumers
Analyze existing schemas, workloads, and query patterns, and define equivalent or improved implementations in Databricks and Snowflake
Define canonical migration patterns for: Table structures (including partitioning, clustering, distribution)
Stored procedures, complex SQL, and business logic

Fulltime

Data Architect

Carex is partnering with a financial services industry partner to hire a Data Ar...

Location

United States , Madison

Salary:

Not provided

Carex Consulting Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent professional experience
Strong experience in data architecture, data modeling, data warehousing, and enterprise data platform design
Deep domain expertise within insurance and financial services environments
Expertise with Microsoft data technologies including Fabric, Azure, Data Factory, Power BI, and Copilot
Strong hands-on experience with Databricks, Snowflake, and modern cloud-based data platforms
Experience building scalable enterprise data products and modern data ecosystems
Practical experience building MVPs leveraging Agentic AI and GenAI technologies for data management and operational efficiencies
Strong understanding of modern data architecture concepts including cloud-native solutions, real-time data distribution, metadata management, and enterprise governance
Advanced proficiency with SQL, NoSQL, and enterprise data modeling tools
Experience developing and implementing enterprise data governance and data quality frameworks

Job Responsibility

Design and implement modern enterprise data architectures that support scalable, secure, and cost-effective data platforms and solutions
Establish future-state data architecture blueprints aligned to enterprise business goals and strategic data initiatives
Lead architecture efforts for data products, data lakes, data warehouses, and cloud-native environments
Develop conceptual and logical data models that promote consistency, standardization, and reusability across the organization
Drive enterprise data integration strategies across multiple systems and platforms
Partner with engineering and DevOps teams to implement scalable data storage and management solutions
Build and maintain architecture documentation including data models, lineage, standards, and data flow diagrams
Establish and enforce data governance, lineage, security, and quality management standards
Ensure architectural alignment with enterprise compliance, governance, and security requirements
Evaluate and recommend modern technologies and tools that improve data engineering and analytics capabilities

Select Country

Snowflake Architect or Data Architect

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?