Data Services and Storage Technology Architect Job at Hewlett Packard Enterprise (Winnipeg)

Data Architect

We’re looking for an innovative Data Architect to lead the creation and rollout ...

Location

United Kingdom , London

Salary:

Not provided

Transact

Expiration Date

Until further notice

Requirements

At least five years of relevant experience
Strong background in designing and implementing data lakes, data warehouses, and analytics solutions
Experience within the financial services sector is essential
Solid understanding of investment and financial products in the UK
Deep knowledge of data architecture and modelling including conceptual, logical, and physical data modelling
Expertise in data warehousing, data lake architecture, and Master Data Management (MDM)
Proficiency in data integration and ETL processes including design and orchestration of data pipelines and use of ETL/ELT tools
Experienced with a range of database technologies, particularly cloud-based storage, compute, and analytics services such as Azure, Fabric, and Power BI
Familiarity with Snowflake and relational databases like SQL Server and PostgreSQL
Professional certifications such as Microsoft Certified: Azure / Fabric Data Engineer Associate and SnowPro® Advanced: Architect are highly desirable

Job Responsibility

Design and implement a comprehensive data governance framework
Define and maintain data governance policies, standards, and procedures
Establish and lead a cross-functional Data Governance Council
Collaborate with data owners, stewards, and custodians across departments to ensure alignment and accountability
Develop and enforce data quality standards, metrics, and monitoring processes
Ensure compliance with data protection regulations such as GDPR, CCPA, and other relevant standards
Evaluate, select, and implement data governance tools (e.g. data catalogues, data quality tools)
Lead the deployment of modern data platform technologies including Data Warehouses, ETL services, and cloud-based solutions
Promote a data-driven culture through organization-wide training and awareness initiatives
Develop and deliver role-specific training for data owners, custodians, and other key stakeholders

What we offer

Competitive remuneration package
Company discretionary bonus
Excellent pension contributions
Attractive staff share scheme
BUPA health insurance
Buying and selling of annual leave
Sponsorship of relevant professional qualifications

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect/ Modeller to join our t...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME
Act as single point of contact for all kinds of data management related queries to make data decisions

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect to join our team. The D...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design
experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management
Conduct continuous audits of data management system performance and refine where necessary

Fulltime

Storage Presales Architect

Responsible for architecting storage-focused solutions that deliver measurable c...

Location

Poland , Warszawa

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree (Computer Science preferred) or equivalent technical qualifications
Advanced technical degree is preferred
4–8 years of technical experience in IT with strong emphasis on enterprise storage, solution architecture, technical consulting, and/or presales engineering
Relevant technical certifications in storage, cloud, or virtualization strongly preferred (HPE, VMware, Microsoft, AWS, vendor-specific storage certifications, etc.)
Expert-level knowledge of storage architectures and solutions (block, file, object), including hands-on experience with major vendors' portfolios and competitive differentiation
Strong experience designing storage configurations and delivering demos, PoCs, and performance validation tests aligned with customer requirements
Well-developed understanding of HPE’s solution offerings and how they integrate into customer environments
Excellent written and verbal communication skills, including active listening, storytelling, and the ability to communicate in both Polish and English
Strong persuasion and discussion skills, able to represent HPE’s point of view while professionally challenging assumptions or misaligned designs
Well-developed business and financial acumen, including pipeline management, value justification, TCO/ROI analysis, and mapping technology benefits to business outcomes

Job Responsibility

Applies deep expertise in HPE storage portfolio (block, file, object, data protection, cloud-native storage) to shape customer proposals and ensure technical and business needs are met end-to-end
Identifies key technical and architectural risks, ensuring proposed solutions align with customer requirements and clearly articulating differentiated value to the wider account team
Provides insights to address customer trends, storage modernization needs, performance or data-management gaps, and emerging requirements such as hybrid cloud or cyber-resiliency
Translates business-level outcomes into scalable, secure, and operationally efficient technical architectures
Communicates how HPE’s storage value proposition (including GreenLake) addresses customer challenges around performance, availability, TCO, automation, or data mobility
Tracks industry developments, storage technology innovations, and competitive offerings (including Dell, NetApp, Pure Storage, IBM, HDS), applying this knowledge when shaping customer architectures
Guides customers on integrating or migrating technologies into existing environments, including consolidation, workload re-platforming, or hybrid cloud adoption
Contributes to industry and community presence through conference participation, technical content creation, demos, and social media engagement
Designs and delivers storage-centric solutions aligned to customer business requirements, leveraging knowledge of industry best practices and specific customer environments
Participates in deep-dive technical discussions, articulates technical differentiators, provides high-level designs, and supports complex PoCs or benchmarking efforts

What we offer

Health and wellbeing programs
Career development programs
Unconditional inclusion.

Fulltime

As-a-Service Solution Architect Intern

Hewlett Packard Enterprise offers an internship for university students to gain ...

Location

Chile , Santiago

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Actively enrolled in a Bachelor’s degree program in Computer Engineering, Infrastructure and Technology Platforms Engineering, Administration or Business Administration with strong technology orientation
Demonstrated background in Information Technology fundamentals (cloud, AI, servers, storage, and networks)
Fluent English (oral and written)
Strong commercial mindset
Results-oriented approach
Ability to collaborate and build relationships
Effective communication skills
Creative thinking and problem-solving
Excellent time management, prioritization, and self-organization
Curiosity, creativity, and desire for continuous learning

Job Responsibility

Learn and support solution development based on HPE’s Hybrid Cloud, AI, and As-a-Service portfolio
Gain hands-on exposure to technologies such as virtualization, cloud computing, infrastructure, and data protection
Assist in creating packaged services, Statements of Work (SoW), and other deliverables
Support presales and sales teams in identifying opportunities
Prepare technology demonstrations
Showcase HPE technologies through presentations, demos, and validations
Assist in research and analysis of market trends
Help map customer pain points to Hybrid Cloud use cases
Participate in the creation of customized advisory reports
Collaborate with senior advisors to document findings

What we offer

Comprehensive benefits suite
Professional development programs
Inclusion and diversity initiatives

Parttime

Principal Software Engineer, Trusted Data Platform

As a Principal Software Engineer, you will be a technical leader and hands-on co...

Location

India , Bangalore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
10+ years of experience in backend software development, focusing on distributed systems and storage solutions
5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier)
Strong expertise in system design, architecture, and scalability for large-scale storage solutions
Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures
Deep understanding of distributed systems, replication strategies, sharding, and caching
Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA)
Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps
Proficiency with observability tools, performance monitoring, and troubleshooting at scale

Job Responsibility

Designing and optimizing high-scale, distributed storage systems built on AWS storage technologies
Shaping the architecture, performance, and reliability of backend storage solutions that power critical applications at scale
Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
Driving best practices in distributed system design, security, and cloud cost optimization
Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices, leveraging tools like Terraform, AWS CloudFormation, Kubernetes (EKS), and CI/CD pipelines to enable scalable deployments and operational excellence

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Atlassians have more control over supporting their family, personal goals, and other priorities
We can hire people in any country where we have a legal entity
Interviews and onboarding are conducted virtually
Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle

Data Architect

As a Data Architect for Data, you are passionate about data and technology solut...

Location

India , Gurgaon

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics
Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks
Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring
Strong Spark, SQL, Data Modeling, Data lakehouse concepts
Programming / scripting experience using python and scala
6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
5+ years working in cloud or multi-server complex environments
Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders

Job Responsibility

Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases
Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
Be the technical liaison between customers and engineering teams
Be a big data evangelist by educating a variety of customers on the value of cloud and data services
Ensure solutions are optimized for Azure’s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs
Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management
Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault
Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA)
Conduct risk assessments and remediate vulnerabilities across the Azure environment

Fulltime

Senior Software Engineer - Transactional Data Platform

As a Senior Software Engineer, you will play a critical role in designing, build...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
5+ years of experience in backend software development
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier)
3+ years of experience in designing and developing distributed systems or high-scale backend services
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices
Strong Backend Development Skills
Proficiency in Kotlin, Java for backend development
Experience building high-performance, scalable microservices and APIs
Strong understanding of RESTful APIs, gRPC, and event-driven architectures

Job Responsibility

Designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure
Developing distributed storage systems, APIs, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage
Collaborating closely with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns
Driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier
Contributing to infrastructure automation, security best practices, and monitoring strategies using tools like Terraform, CloudWatch, Prometheus, and OpenTelemetry
Troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness
Mentoring junior engineers, participating in design reviews and architectural discussions, and advocating for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Flexibility for eligible candidates to work remotely across the West US

Fulltime

Data Services and Storage Technology Architect

Hewlett Packard Enterprise

Location:
Canada , Winnipeg

Category:
Sales

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
November 22, 2025

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