Description
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.
The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem-solving skills and the ability to work collaboratively with clients and cross-functional teams.
As a Data Architect, you will design and implement robust, scalable, secure, and optimized data solutions that support business requirements and strategic goals. You will evaluate the client's existing data estate, diagnose underlying issues, and propose potential solutions. You will also collaborate with clients to understand their data needs and provide expert advice on data management and architecture.
Responsibilities:
- Design and implement data models, data flow diagrams, and data dictionaries
- Oversee the ingestion and integration of data from multiple sources into enterprise data platforms
- Conduct data quality assessments and implement data governance processes and best practices
- Stay updated with the latest trends and technologies in data architecture and management
- Provide technical guidance and mentorship to data engineers and other team members
- Identify and mitigate data-related risks throughout the project lifecycle
Requirements:
- Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management, and data modelling
- Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile
- Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks)
- Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques
- Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark)
Given that this is just a short snapshot of the role, we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn.