About the job Data Integration Architect
The Data Architect is responsible to define standards and design the flow of data throughout both the enterprise and the integration to external ecosystems (customers, channels, etc.). This role is focused on data architecture to own the vision for the data landscape and to work collaboratively with the data platform team, product owners, data engineers, BI engineers and data scientists. In this role you are required to lead development and maintenance of data architecture and work with a team of data architects to improve the maturity of curated data, data pipelines, data quality and data governance to support data democratization. A data architect is a knowledgeable leader with an ability to lead and is passionate about coaching and to use data to solve business problems. The right individual will have a vision for the overall data landscape with the ability to develop technically viable global data architecture with a focus on international data.
We are looking for a highly motivated, international business focused data architect who wants to work in a fun and highly collaborative environment and is willing to be the player as well as coach for the data architecture community.
Drive the international data architecture strategy in collaboration with enterprise architecture.
Build, optimize and maintain logical (curated) data models.
Advise team on translating business needs into long-term architecture solutions.
Develop and maintain reference architectures for data services.
Work with data engineering and data platform teams to conduct ongoing performance enhancement by troubleshooting and introducing new technologies.
Assist in defining data integration, storage, replication and transformation protocols for the data layer of technical solutions supported by enterprise architecture.
Participate in delivery of operational business performance monitoring capabilities.
Brainstorm ideas with database developers, data engineers and data scientists to generate new data products.
Mentor and coach the data architecture team on new technologies and methodologies in data architecture and engineering.
7+ years’ experience in data architecture with large and complex datasets.
3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
Experience in developing a big picture view of data needs of business and builds the architecture on the basis of a strong technical foundation.
Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Graduate degree in Computer Science, Engineering, or equivalent software/services experience.
Experience leading data architecture and data solutions through agile software development methodologies.
Exposure to the logistics industry.
Experience leading software development teams.
Excellent verbal and written communication skills.