About the Company
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Capgemini is a place where innovation, collaboration, and personal growth are highly valued.
Job Description
We are seeking an experienced and visionary Big Data Architect with expertise in Hadoop and Spark ecosystems to join our dynamic team in Woking, Surrey. This is a critical role for designing, building, and maintaining robust and scalable big data solutions that empower our clients to derive actionable insights from their vast datasets. The successful candidate will play a pivotal role in shaping our data architecture strategy and leading implementation efforts. We are committed to attracting top global talent and are pleased to offer visa sponsorship for eligible candidates who meet our criteria.
Key Responsibilities
- Design and implement scalable, high-performance, and cost-effective big data architectures using Hadoop, Spark, and related technologies.
- Lead the technical design and development of data ingestion, processing, and storage solutions for large-scale datasets.
- Evaluate and select appropriate big data tools, frameworks, and technologies to meet business requirements.
- Collaborate with data engineers, data scientists, and business stakeholders to understand requirements and translate them into technical specifications.
- Ensure data quality, security, and governance standards are met across all big data initiatives.
- Optimize big data solutions for performance, reliability, and maintainability.
- Mentor junior team members and foster a culture of technical excellence and continuous improvement.
- Stay abreast of emerging big data technologies and industry trends to drive innovation.
Required Skills
- Extensive experience with Hadoop ecosystem components (HDFS, YARN, Hive, HBase, etc.).
- Proven expertise in Apache Spark for data processing and analysis.
- Strong proficiency in at least one programming language (Python, Java, Scala).
- Experience with cloud-based big data services (AWS EMR/Glue, Azure HDInsight/Databricks, Google Cloud Dataproc/Dataflow).
- Solid understanding of data warehousing concepts and ETL/ELT processes.
- Knowledge of various data storage solutions including SQL and NoSQL databases.
- Experience with real-time data streaming technologies like Apache Kafka or Flink.
- Familiarity with data governance, data security, and compliance best practices.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Certifications in big data technologies or cloud platforms (e.g., Cloudera, AWS Big Data Specialty, Azure Data Engineer).
- Experience with machine learning frameworks and MLOps principles.
- Understanding of containerization and orchestration technologies (Docker, Kubernetes).
- Familiarity with Agile development methodologies.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits.
- Generous paid time off and holidays.
- Company pension scheme.
- Extensive professional development and training opportunities.
- Full visa sponsorship and relocation support.
- Flexible working arrangements (hybrid model).
- Collaborative and inclusive work environment.
- Access to cutting-edge technologies and challenging projects.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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