Big Data Architect

BE AN ESSENTIAL PART OF EVERYDAY LIFE

Position: Big Data Architect
Contract Type: Full time- Permanent

Closing date: 31/3/25

RCS: I

Location: Europe (UKI/EMEA)

The Big Data Architect role is an exciting opportunity to join the AI, Data & Analytics global centre of excellence and work with state-of-the-art data analytics technologies in a forward-thinking team!

You will provide best-fit architectural solutions to shape our global data ecosystem. You will work with key stakeholders, business partners, IT counterparts and the enterprise architects to identify use-case requirements, define architectures, support development and delivery of data products and promote data quality.

Your Key Accountabilities include:

• Scout for new technologies, execute proof of concepts (PoC's) and manage delivery of minimum viable products (MVPs) for innovative solutions and conduct technology exploration in cloud environments and Big Data
• Understanding data analytics use-case: Be it Reporting, GenAI or predictive Machine Learning algorithm, you will need to understand use-case requirements and propose and design technological / data architecture fulfilling them.
• Understanding applications & data sources: Although the application teams are responsible for providing the details of application data, you must understand where data is created and maintained.
• Designing data movement: You will be leading and coordinating data engineering efforts of data movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations.
• Defining Data Products: Data Products will draw together data from various source systems across the domains. Some source systems will provide database or API while others will push data in real-time.
• Work in conjunction with Data Engineering Team in designing, developing, testing and reviewing data ingestion and processing pipelines meeting high quality criteria for stability, performance, cost effectiveness and resiliency.
• Engage in architectural discussions and workshops with stakeholders and customers to comprehend their business and technical needs, to develop tailored technical architectures and solutions in the Cloud, focusing on data engineering, data lakes, lake houses, business intelligence and machine learning/AI.
• Cost Optimization: You will be continuously trying to optimize run costs – both on platform level as well as making sure our pipelines / application are cost effective

What We Are Looking for From You:

• University Degree in Computer Science, Information Systems, Statistics, or related field
• Minimum 7 years of experience in the IT industry with expert knowledge of On-Premise and/or Cloud Data Management technologies.
• At least 5 years of designing, developing, and supporting Big Data solutions for data lakes and data warehouses
• Expertise in cloud-based Big Data solutions is required – preferably with Azure Data Lake and related technological stack: ADLS Gen2, Spark/Databricks, Delta Lake, Kafka/Events Hub, Stream Analytics, Azure Data Factory, Azure DevOps, etc.
• Experience with designing and running Data Warehouses and/or Lakehouses e.g. Databricks SQL Snowflake, Synapse Analytics, Microsoft Fabric, etc.
• Comfortable understanding and writing complex SQLs in Data Analytics projects.
• Excellent Python/Scala and Spark programming skills.
• Solid understanding of delivery methodology and process

What you'll need to do next?

If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full up to date CV is attached with your application.

We will ensure that all our resourcing activities are fair, transparent and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.

The Company is committed to providing equality of opportunity for all employees. Furthermore, we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.