Enterprise Data Architect
1 month ago
What's this role about?
Join Endava's Exciting Enterprise Architecture Team
Endava's IT organization is embarking on a significant transformation programme aimed at adopting agile methodologies, addressing technical debt, and advancing the maturity of its people, processes, and technologies to support future business growth.
This initiative presents an opportunity akin to a startup within Enterprise Data Architecture, allowing us to establish a brand-new internal enterprise data capability. The goal is to:
Develop a tailored and compelling technological response aligned with the company's strategic objectives. Cultivate partnerships to effectively execute the enterprise architecture strategy across the entire organization. Elevate the internal technology function's master of data to a reputation that becomes a trusted business partner.As an Enterprise Data Architect at Endava, you'll play a pivotal role in creating and managing our organizational data architecture from the ground up. This isn't just a job – it's an opportunity to pioneer a brand-new internal enterprise data capability, akin to building a startup within a thriving enterprise environment.
What You'll Do:
Overall, the role involves driving technology optimization across our global business. There will be regular M&A as well as organic expansion of the company and its capabilities. The three primary areas of responsibility are data modelling & design, data governance & management, and the assurance of data integration & associated infrastructure.
Design and implement a cutting-edge data model for our internal Enterprise Data Integration platform. Craft strategic plans to enhance data integration, quality, and delivery in alignment with business objectives. Lead the design and layout of data systems, including databases, warehouses, and lakes. Select and implement database management systems, ensuring data security and accessibility. Drive long-term technology strategy and innovation across analytics, data engineering, and platforms. Simplify existing data architecture for improved efficiency and cost savings. Collaborate with cross-functional teams to understand data consumer needs and develop innovative solutions.
What skills and experience do you need?
Strong ability in programming languages such as Java and Python. Ability in data science languages/tools such as SQL, R, SAS. 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). Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata. Understanding of entity-relationship modelling, metadata systems, and data quality tools and techniques. Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture. Ability to assess traditional and modern data architecture components based on business needs. Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau. Ability to regularly learn and adopt new technology, especially in the ML/AI realm. Strong analytical and problem-solving skills. Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings. Ability to collaborate and excel in complex, cross-functional teams involving data scientists, product managers, and stakeholders. Exposure to and experience of machine learning and generative AI implementations at an enterprise level, including AI governance and strategy.Join us at Endava and be part of a dynamic team driving innovation, agility, and growth. Let's shape the future of data together Apply now and unleash your potential with us.
What's in it for you?
Competitive salary package. Robust benefits package (Bonuses, Discounts and Stock Options). Diverse activities with a high international share and a wide range of topics. State of the art technology. Ongoing learning opportunities – complex projects, training, coaching, conferences, workshops, certifications, online learning platforms, subscriptions, etc. We live Work-Life-Balance with flexible working hours, and home office possibilities. Diverse company social life - events, sports tournaments, team buildings, passion groups (. hiking, book club, green team). Multicultural environment - working with colleagues and clients across different countries.-
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