Roles within the Big Data sector are deemed the driving force of today's digital era, fuelling decisions and innovations with extensive information streams. Within this broad domain, Data Engineers work meticulously to ensure data flows efficiently and is processed accurately. Accompanying them, Data Architects design the blueprints, crafting the frameworks for data storage and integration. Further in-depth, Database Administrators act as gatekeepers, safeguarding data's integrity while managing and securing vast databases. On the infrastructure front, Data Centre Operators maintain the essential systems, ensuring optimal uptime and resilience.
For those captivated by the complexities of data and its transformative capacity, the big data sector presents a landscape brimming with opportunities for advancement, innovation, and the chance to contribute significantly to the digital revolution.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. Elevate the internal technology function's master of data to a reputation that becomes a trusted business partner. The three primary areas of responsibility are data modelling & design, data governance & management, and the assurance of data integration & associated infrastructure. Lead the design and layout of data systems, including databases, warehouses, and lakes. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks). Join us at Endava and be part of a dynamic team driving innovation, agility, and growth.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. Elevate the internal technology function's master of data to a reputation that becomes a trusted business partner. The three primary areas of responsibility are data modelling & design, data governance & management, and the assurance of data integration & associated infrastructure. Lead the design and layout of data systems, including databases, warehouses, and lakes. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks). Join us at Endava and be part of a dynamic team driving innovation, agility, and growth.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. Elevate the internal technology function's master of data to a reputation that becomes a trusted business partner. The three primary areas of responsibility are data modelling & design, data governance & management, and the assurance of data integration & associated infrastructure. Lead the design and layout of data systems, including databases, warehouses, and lakes. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks). Join us at Endava and be part of a dynamic team driving innovation, agility, and growth.
Ensure data is efficiently organised and presented across data lakes and data warehouse platforms to drive business insights, analytics, data science and machine learning use cases. Architecture Governance: Contribute and drive the adoption of the architecture standards, patterns and policies across engineering teams in the data group and other teams in SIE. Demonstrable knowledge of the use of Agile methods, and working closely with product managers and engineering teams. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. • Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Do you have the business savvy, Data and AI tech skills necessary to help position AWS as the best cloud provider of choice for their Data and AI initiatives? You will hire and develop the best Data and AI technologists, work with the most strategic opportunities in the Data and AI domains, guide your team to scale tech knowledge via technical assets, products, programs, solutions and the AWS field. As part of WWSO, you'll provide expertise across the entire customer life cycle, from accelerating the adoption of established businesses to developing ideas for new services. Join the Worldwide Specialist Organization (WWSO) Data and AI EMEA GTM team as a Sr. Key job responsibilities
- Manage a team of SSAs for Data and AI
- Interact at the CxO/VP level, as well as developers and technical architects, to develop pipeline, secure lighthouse customers, drive top-line-revenue, and explore strategic partnerships. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. - Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.
Accountabilities:
As a Data Architecture Specialist, you'll be responsible for delivering coherent strategic and tactical architectural thinking across information and data architectures, MRDM, data strategies, and information and data governances. g. Experience in the use of tooling including Entity Relationship modelling & Data Cataloguing, e. g. We're leveraging our leading technologies and exploring data to make improved decisions and help the business to reach the right outcomes, quicker.
You will play an integral part within the team to contribute to the evolution of the organisation's technical environment through systems development and automation of the current business processes, to facilitate future business growth. Support various teams with the running of the manual processes by resolving technical issues, running a monthly maintenance procedure, and building enhancements, as necessary. have a strong interest in asset management, especially the systems involved. Expert in at least one programming language like C#, Python, Java including JavaScript along with any exposure to one or more of JIRA, Azure DevOps (Pipelines, CI/CD) and GIT. Establishing an inclusive attitude helps us, organisationally, to 'think outside the box' because it calls on that diverse range of ideas, perspectives and lived experiences.
Role Purpose:
The Master Data Management Architect leads master data projects to enable the Global Master Data team deliver superior business experience
In addition, the Global Master Data Project Manager design, develop, maintain and continuously optimizes the master data cross-domain technical program, ensuring a common, efficient and agile Lonza master data management. Perform risk assessment, testing and validation of data management technical solutions
Train the master data community on master data management solutions. You have a Bachelor's or Master's degree in data science, computer science, mathematics, business information technology or business administration, logistics or supply chain. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences.