Data Architect
London, United Kingdom
Sysco
Sysco lives at the heart of food and service. We are passionately committed to the success of every customer, supplier partner, community, and associate.Job Description
Data Architect
Sysco International
Homebased
Sysco is the global leader in selling, marketing and distributing food products to restaurants, healthcare and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 57,000 colleagues, the company operates more than 326 distribution facilities worldwide and serves more than 625,000 customer locations.
Sysco International is a US $12bn business unit comprising of all of the Sysco Corp non-US entities, with operations in Canada, Europe (comprising 5 BUs), Latin America, the Bahamas and IFG, Sysco’s global export business. Sysco has high aspirations for strategic expansion and growth to be achieved through both organic and acquisitive means.
The Role:
We are currently hiring for a Data Architect, who will be accountable for architecting, enhancing, managing, and supporting a highly available, distributed, cloud data platform for Sysco International business units and enterprise data.
The Architect will collaborate with the International business units, US architecture team and Sysco 3rd party Vendors to create data solution andl ensure alignment between the international businesses in the deployment of initiatives.
The role will also be the point of escalation for the International technology teams for prioritisation, dependencies, risks and issues.
The role will form part of the International Business Technology Team and will work closely with all the International business units and 3rd party contractors. The Data Architect will play a key role in Data Platform projects, the implementation of which is critical to the business operations and business-wide transformation projects.
Role Responsibilities:
Establish and define application architecture
Lead teams to deliver high-quality software and business solutions
Ensure architecture standards are maintained to a high quality and adhered to
Maintain awareness of the business domain and have a holistic view of business and technology landscape
Align engineering team members on technical vision and implementation and lead technical meetings regularly to clearly articulate engineering development status and escalate issues with tasks assigned
Review and provide feedback on technical deliverables
Operate as a functional lead and subject matter expert for Business Units BT and 3rd party contractors
Keep up to date with the latest Technology data solutions
Lead efforts in architecting and maintaining data solutions
Whilst not responsible for direct reports, management of third parties and project resource will be required from time to time. Similarly, the role of the Data Architect includes the responsibility to lead and coach other Technical Business resources in the adoption of best practices, techniques and processes concerning data
Knowledge, skills, experience, and competencies
You will have…
Extensive experience in architecting enterprise-level comprehensive data management strategies, data architecture for large systems, and with the modernization of data lake/warehouse environments.
Expertise in both leading and hands-on experience in data engineering and management activities such as Data Integration, Building Pipelines, Data ingestion, warehousing, modelling and reporting.
Hands-on experience in designing and managing large-scale, distributed data platforms, particularly using data lakes or similar technologies.
Expertise in developing cloud data architectures, particularly with Amazon Web Services (AWS) as a must-have, and preferably with Google Cloud Platform (GCP) and Microsoft Azure.
Hands-on programming experience building and managing data pipelines and supporting systems, primarily using Python, AWS Services like Redshift, Lambda, Athena, EMR, SQS, Data pipelines, Glue etc., Shell scripting, SQL, and NoSQL.
Experience in utilizing both open source and proprietary cloud data tools like Airflow, Glue, AWS Data Pipelines, MuleSoft, Redshift, BigQuery, and data visualization tools like Looker, Diver, Redash, Tableau, Power Bi etc.
Expertise in implementing data quality processes, automated testing and CI/CD processes.
Experience with version control (GitHub/bitbucket and PR review processes).
Experience with Agile methodologies (JIRA, Sprint, Story points etc.)
Prior experience with ERP systems and their integration into larger data ecosystems.
Experience in designing and implementing solutions that operate across multi-cloud architectures.
The ability to develop effective relationships across the business, technology, and wider change management community.
An ability to lead and coach others with similar core responsibilities but who are of a more junior level.
Additional Information
At Sysco International everyone is welcome. We don’t want you to ‘fit our culture’ we want you to help define it and we actively celebrate the unique talents of each and every colleague. We don’t just look at your CV, we’re more focused on who you are and your potential. As part of our values, we are committed to fostering a diverse and inclusive culture where everyone has a voice, is appreciated and has the same opportunities. We work hard to ensure that everyone feels part of our business, as we care for one another and connect the world through food and trusted partnerships. Our ultimate goal is to ensure that everyone belongs and thrives at Sysco International and we recognise that Sysco International can only thrive when everyone feels they belong. We'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our resourcing team who will be happy to support you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Athena AWS Azure BigQuery Bitbucket CI/CD Data management Data pipelines Data quality Data visualization Engineering GCP GitHub Google Cloud Jira Lambda Looker NoSQL Open Source Pipelines Power BI Python Redash Redshift Shell scripting SQL Tableau Testing
Perks/benefits: Startup environment Team events
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