Snowflake Solution Architect Job at NTT DATA (London)

Snowflake Solution Architect Lead

We are seeking an accomplished and highly skilled Snowflake Solution Architect. ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

BSc/MSc in Computer Science, Data Engineering, or related field
Snowflake certification(s) strongly desirable
Minimum 7–10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture
Proven expertise in designing and implementing Snowflake architectures for enterprise clients
Strong consulting values with the ability to interface effectively with senior stakeholders
Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools
Experience leading data modernisation initiatives across multiple sectors (e.g., banking, insurance, telecom, public sector, manufacturing, retail)
Extensive experience with Snowflake features (e.g., data sharing, Snowpark, zero-copy cloning, performance tuning)
Proficiency in cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (e.g., Terraform)
Strong background in databases, data warehouses, and distributed processing frameworks

Job Responsibility

Lead client interactions to understand needs, define outcomes, and ensure high-quality delivery across all engagements
Architect and implement scalable data solutions aligned with client objectives and industry best practices
Drive end-to-end data migration and modernisation initiatives, ensuring seamless transitions to modern platforms and technologies
Contribute to internal and external thought leadership through best-practice development, mentoring, and knowledge dissemination
Partner with cross-functional teams to guide project execution, support team development, and foster a collaborative working environment
Build and maintain strong relationships with key stakeholders to support long-term strategic partnerships
Engage with senior client stakeholders to align on strategy, delivery expectations, and value creation
Collaborate closely with practice leadership and internal teams to support capability growth and project success
Develop peer-level relationships within client organisations

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
Private Health Insurance – custom-made for you
Individual coaching sessions or join our accredited Coaching School
Epic parties or themed events for our people and their families

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

AI & Data Solution Architect

Carrier is seeking a highly skilled and forward‑thinking AI & Data Solution Arch...

Location

United States , Atlanta

Salary:

96000.00 - 192000.00 USD / Year

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in engineering or technical discipline
8+ years hands‑on experience in data architecture, analytics solutions, and/or cloud data platforms
3+ years of hands‑on experience delivering AI/ML and Generative AI solutions in production
6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake
Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Job Responsibility

Define and evolve Carrier’s AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy
Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI
Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns
Partner with business and digital leaders to identify and prioritize high‑impact AI and analytics use cases
Provide architectural guidance on ethical, responsible, and compliant AI adoption
Lead end‑to‑end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency
Design and govern cloud‑based data platforms leveraging: Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker), AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda), Snowflake (data warehouse, data sharing, performance optimization)
Architect modern enterprise data architectures, including: Data Lake, Lakehouse, Data Mesh, and Data Fabric, Open table/file formats such as Parquet, Iceberg, Delta Lake, Medallion architectures (Bronze/Silver/Gold)
Define data ingestion and integration patterns across structured and semi‑structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL)
Define and enforce data quality, metadata, lineage, and access control standards

What we offer

Health Care Benefits: Medical, Dental, Vision
Wellness incentives
Retirement Benefits
Paid vacation days, up to 15 days
paid sick days, up to 5 days
paid personal leave, up to 5 days
paid holidays, up to 13 days
birth and adoption leave
parental leave
family and medical leave

Fulltime

Cloud Solution Architect (Data & Analytics)

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

Spain , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field and experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience
Enterprise-scale experience with Azure Databricks, including Spark, Delta Lake, and Unity Catalog for scalable data engineering and transformation
Hands-on experience with Microsoft Fabric, including OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Real-Time Intelligence (RTI) components
Proven ability to design and deliver Advanced Analytics and Big Data architectures within Microsoft Fabric and Azure ecosystems
Deep understanding of data modeling, data warehousing, and distributed data architectures
Proficiency in Python, SQL, PowerShell, and Infrastructure as Code for automation and integration
Strong understanding of data governance, security, and compliance best practices in cloud data environments
Awareness of competitive data platforms such as AWS (Redshift, Glue, EMR), GCP (BigQuery, DataProc), and Snowflake

Job Responsibility

Understand customers' overall data estate, business priorities, and IT success measures
Prioritize Customer Satisfaction: Foster positive relationships and become a trusted advisor
Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment
Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers
Architect modern Data & Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs
Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and drive product improvements
Continuous Learning: Stay updated on market trends, collaborate with the Data, Analytics and AI technical community, and educate customers about the Azure platform
Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success

Fulltime

Data Solution Architect - AWS

Data Solution Architect (Consulting) | Randstad Digital Switzerland. Are you rea...

Location

Switzerland , Geneva

Salary:

Not provided

Randstad

Expiration Date

July 31, 2026

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
7+ years of hands-on technical experience in data solution architecture, with a proven track record of building modern cloud-based data ecosystems
Deep expertise in AWS (Cloud-native data platforms)
Proficiency in Snowflake and GCP
Lambda, Glue, S3
Advanced knowledge of Kafka, ETL technologies, and BI tools
A solid understanding of TOGAF, data governance, and enterprise data strategy
Experience designing data pipelines that support Machine Learning model preparation and monitoring
Excellent persuasion and communication skills, with the ability to influence stakeholders at all levels of a global organization

Job Responsibility

Architectural Design: Build and implement scalable, secure cloud-based data solutions that align with our client's Unified Architecture framework
Data Orchestration: Optimize the full lifecycle of data systems from ingestion and transformation to ML-pipeline integration and analytics enablement
Real-Time Integration: Utilize data streaming technologies (e.g., Kafka) to power event-driven use cases
Standardization: Document technical standards and ensure adoption across internal teams and external delivery partners
Cross-Functional Collaboration: Partner with Data Governance, Security, and Business stakeholders to embed privacy and quality into every design
Vendor Management: Oversee external vendors to ensure technical alignment and high-quality solution delivery

What we offer

Strategic Projects: Work on high-impact missions for industry leaders
Expert Community: Join a network of like-minded tech professionals dedicated to excellence
Career Growth: Continuous learning opportunities and a clear path for professional development
Culture: A collaborative, inclusive environment where your technical expertise is valued and celebrated

Fulltime

Consulting Solution Architect

At CDW, we make it happen, together. Trust, connection, and commitment are at th...

Location

United States

Salary:

132400.00 - 185520.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

Bachelor’s degree and 7+ years of experience architecting, delivering, or selling complex IT solutions
Or, 11+ years of experience architecting, delivering, or selling complex IT solutions
5+ years of experience in data architecture and data engineering, with at least 3 years hands-on in Snowflake
Deep expertise in Snowflake features (Warehouses, Streams/Tasks, Time Travel, RBAC, Clustering, Stages etc.)
Strong SQL skills and familiarity with Python
Demonstrated ability to lead complex technical discussions, influence decision-making, and align technology strategy with business outcomes
Strong analytical and problem-solving skills with the ability to translate technical concepts into Snowflake-based solutions
Proven ability to build and maintain trust-based relationships with senior stakeholders and cross-functional teams
Excellent communication, presentation, and interpersonal skills, with a passion for customer engagement
Ability to mentor and coach peers, fostering knowledge transfer and collaborative team success

Job Responsibility

Architect and develop tailored DV solutions for enterprise clients, including assessments, health checks, deployment strategies, and advisory services
Present and articulate DV solutions that address critical business challenges through compelling storytelling, whiteboarding sessions, demos, and executive briefings
Partner with internal sales and delivery teams to craft strategic sales plans, scope project deliverables, and author detailed Statements of Work (SOWs)
Serve as a trusted advisor to customers by understanding their long-term objectives and mapping technology solutions to desired outcomes
Build and maintain strategic relationships with clients, internal stakeholders, and key technology partners
Maintain a minimum of five partner technical certifications, demonstrating a commitment to continuous learning and deep technical expertise
Expand influence in your assigned territory through proactive engagement with vendors, partners, clients, and CDW field teams
Act as a subject matter expert across multiple technology domains
contribute to thought leadership initiatives such as blogs, webinars, and social media
Lead knowledge-sharing initiatives, mentor junior architects and sellers, and support enablement efforts for the broader Digital Velocity team

What we offer

Annual bonus target of 25% subject to terms and conditions of plan

Fulltime

Cloud Solution Architect - Data Analytics

We are seeking a highly motivated and technically skilled Cloud Solution Archite...

Location

Japan , Tokyo

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

7+ years in technical consulting, architecture, or deployment of distributed systems and cloud solutions
Proven ability to build deep technical relationships with senior IT stakeholders and influence decision-making
Strong problem-solving skills using cloud technologies
Excellent communication and presentation skills across technical and executive audiences
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management
Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform and Analytics Cloud solutions: AOAI/AI and Cognitive services
NoSQL Databases including OSS (Cassandra, Mongo, and HBase etc), Cosmos DB
Big Data platform such as Synapse, Snowflake, Big Query, Redshift, Spark
Advanced Analytics including Azure Synapse, Databricks, and visualization tools such as PowerBI, Tableau
Data Science and Data Engineering including machine learning framework such as PyTorch and scikit-learn

Job Responsibility

Understand customer data estate, IT strategy, and business goals to design scalable and secure Azure-based architectures
Architect and implement solutions using cutting-edge Azure technologies such as Azure OpenAI, Copilot Studio, Azure ML, Microsoft Fabric, Synapse, Databricks, Purview, and Power BI
Ensure solutions meet performance, security, scalability, maintainability, and reliability standards
Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models
Lead technical workshops, build MVPs, and guide customers through production deployments
Collaborate with internal engineering teams to remove blockers and share customer feedback
Stay current with market trends, competitive insights, and Microsoft’s FY26 solution plays (e.g., Vaas Enhanced, DE, EDE)
Evangelize Azure technologies within customer, partner, and community ecosystems

Fulltime

Snowflake Architect

Guide team to migrate from on Prem Cloudera to Azure cloud environment. Designed...

Location

United States , Dallas

Salary:

260000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Guide team to migrate from on Prem Cloudera to Azure cloud environment
Designed and implemented scalable data lake solutions using Snowflake and Databricks
Developed and optimized data pipelines for ingestion, transformation, and storage
Managed data governance, quality, and security across cloud environments
Implemented performance tuning, automation, and CI/CD for data workflows
Collaborated with cross-functional teams to support cloud migration activities
Install, configure, manage, and monitor Cloudera Hadoop clusters, ensuring high availability, performance, and security
Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization
Diagnose and resolve issues related to Linux servers, networks, cluster health, job failures, and performance bottlenecks
Implement and manage security measures within the Cloudera environment, including Kerberos, Apache Ranger, and Atlas

Fulltime

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Snowflake Solution Architect

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