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- Tasks: Design scalable data platforms and integrate real-time data solutions for diverse clients.
- Company: Credera is a global consulting firm focused on transformative technology and AI solutions.
- Benefits: Enjoy a competitive salary, comprehensive benefits, and a vibrant company culture.
- Why this job: Join a dynamic team making an impact in technology and public sector projects.
- Qualifications: 5+ years in data architecture; experience with cloud platforms and analytics technologies required.
- Other info: Opportunity to work with influential brands and contribute to meaningful projects.
The predicted salary is between 64000 - 84000 £ per year.
Are you passionate about developing a career in technology? Does the idea of working for different clients on complex business-critical IT projects excite you? If yes, then read on!
Here’s what you’ll do:
- We are looking for an experienced Data Platform Architect with expertise in cloud-native data & analytics platforms and the spectrum of data value chain capabilities to join our consulting team.
- Ideally, you have experience working in public sector projects and experience in a form of data integration, such as ETL processes, microservices or event-driven architectures.
- You will be responsible for designing scalable data platforms, integrating real-time data processing solutions, and ensuring robust data management strategies for our clients.
Responsibilities:
- Define and implement platform architectures for cloud-native PaaS and SaaS applications with a focus on data, analytics & AI.
- Ensure seamless data flow across microservices and API-driven architectures.
- Establish best practices for real-time and batch processing in hybrid cloud environments.
Data Integration & Transformation:
- Develop scalable data acquisition and preparation pipelines for diverse data sources.
- Design ETL/ELT workflows for structured and unstructured data.
- Lead the implementation of streaming technologies (Kafka, AWS Kinesis, Azure Event Hub) for real-time data ingestion.
Analytics & AI:
- Define & lead principles and best practice to leverage data using modern analytics technologies.
- Define & lead technology direction to enable sustainable adoption of advanced analytics & AI, including MLOps and AIOps.
Data Management:
- Ensure data security and compliance with public sector standards (GDPR, FOIA, NIST).
- Implement robust data management & governance strategies for long-term sustainability.
- Expertise in cloud data platforms (AWS, Azure, GCP) and leading modern data warehouses (BigQuery, Redshift, Synapse, Snowflake, Databricks).
- Experience with big data processing frameworks (Apache Spark, Flink).
- Advise public service clients on data platform modernization strategies.
- Work closely with business, engineering, and policy teams to align solutions with organizational goals.
- Provide guidance on best practices for cloud-native data platforms.
Who you are:
- Experience: 5+ years’ experience in data, analytics & AI platforms design and delivery. Experience in leading solution implementations for small teams. Public sector experience preferred (government, healthcare, or regulated industries). Strong understanding of core data management concepts over the full data lifecycle. Strong understanding of cloud-centric approaches to solution design & architecture. Strong understanding of CI/CD and modern approaches to IT delivery. Able to articulate key concepts of AI, Machine Learning and Data Mining, and how they can be leveraged within effective data platform solutions.
- Technical Expertise: Certified architect in a cloud-based platform (AWS, Azure, GCP); desired data / AI specialism. Experienced in big data & analytics technologies (e.g. Spark). Desirable experience in microservices and event-driven architectures (e.g. Kafka). Desirable experience in data modelling to ensure appropriate business data consumption. Familiarity with SQL and Python or Java. Familiarity with IaaC for Cloud Platform Delivery.
- Soft Skills: Strong stakeholder management and consulting experience. Ability to translate business needs into scalable technical solutions. Experience in approving solutions under enterprise architectural governance.
Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.
Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community.
Data Platform Architect employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Architect
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Azure, GCP, and big data frameworks like Apache Spark. Being able to discuss these technologies confidently during your interview will demonstrate your expertise and alignment with the role.
✨Tip Number 2
Network with professionals in the public sector and data architecture fields. Attend relevant meetups or webinars where you can connect with current employees at Credera or similar companies. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 3
Prepare to discuss your experience with real-time data processing and ETL workflows. Be ready to share specific examples of how you've implemented these processes in past projects, especially in public sector environments, as this is a key focus for the role.
✨Tip Number 4
Showcase your understanding of data governance and compliance standards, particularly those relevant to the public sector like GDPR. Being able to articulate how you ensure data security and compliance will set you apart from other candidates.
We think you need these skills to ace Data Platform Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, cloud platforms, and analytics. Use keywords from the job description to demonstrate that you meet the specific requirements for the Data Platform Architect role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and how your background aligns with Credera's mission. Mention specific projects or experiences that showcase your expertise in data integration and cloud-native solutions.
Showcase Technical Skills: Clearly outline your technical skills related to big data technologies, cloud platforms, and programming languages like SQL, Python, or Java. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Highlight Soft Skills: Don't forget to mention your soft skills, such as stakeholder management and consulting experience. These are crucial for the role, so provide examples of how you've successfully communicated and collaborated with teams in past projects.
How to prepare for a job interview at Credera
✨Showcase Your Technical Expertise
As a Data Platform Architect, it's crucial to demonstrate your knowledge of cloud-native platforms and big data technologies. Be prepared to discuss specific projects where you've implemented solutions using AWS, Azure, or GCP, and highlight your experience with tools like Apache Spark or Kafka.
✨Understand the Public Sector Landscape
Since Credera values public sector experience, make sure you can articulate your understanding of the unique challenges and regulations in this space. Discuss any relevant projects you've worked on in government or healthcare, focusing on how you ensured compliance with standards like GDPR.
✨Emphasise Stakeholder Management Skills
Strong stakeholder management is key for this role. Prepare examples of how you've successfully collaborated with various teams, translating business needs into technical solutions. Highlight your ability to communicate complex concepts clearly to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and architectural decision-making. Practice articulating your thought process when designing scalable data platforms or integrating real-time data processing solutions, ensuring you cover best practices and potential pitfalls.
