At a Glance
- Tasks: Design and develop big data platforms and analytics capabilities.
- Company: Flexera optimises technology spend for over 50,000 global customers.
- Benefits: Enjoy a hybrid work environment with opportunities for professional growth.
- Why this job: Join a leading company recognised for innovation and impact in the tech industry.
- Qualifications: 15+ years in software development with expertise in data modelling and big data technologies.
- Other info: Diversity is valued; all backgrounds are encouraged to apply.
The predicted salary is between 48000 - 84000 £ per year.
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service.
At Flexera, we're on a mission to empower global enterprises by transforming IT insights into decisive actions. We are looking for an architect/principal engineer with deep expertise in analytics, including data modeling and semantic modeling, to take our world-class reference data in Technopedia to the next level, through deeper insights, richer features and more data sets. The ideal candidate will have a strong track record of providing technical leadership, deep technical expertise and delivering big data solutions through data lakehouse and large scale-processing technologies.
As an architect/principal engineer, you will be a key player in architecting, designing, developing, and maintaining our common ontology and data models, transformations, and analytics capabilities for our industry-leading reference data. You will collaborate closely with other architects and guide, influence and help engineering teams to ensure seamless integration with other components of our system.
What you'll do:
- Architect, design and develop our big data platform, processing pipelines and content reference data.
- Drive innovation, enabling capabilities to enhance speed to innovation for our analytics, AI/ML, and product development teams.
- Define data models and semantic models for our wide range of data sets to provide insights and optimized user experiences.
- Provide guidance, influence and help engineering teams to deliver deep insights from our large and broad data sets.
- Continuously enhance your technical skills and mentor other engineers.
- Promote a high-standard engineering culture and operational excellence within the team.
- Collaborate with product and design teams to ensure the platform meets user needs.
- Define project requirements, technical artifacts, and designs, driving consensus across Product Management, architects, and engineering teams.
- Balance priorities between new feature development, architectural enhancements, and technical debt reduction for a sustainable and scalable platform.
- Champion continuous improvement in product quality, security, and performance standards within the development team.
You'll be expected to have:
- Bachelor's or higher degree in Computer Science, Software Engineering, or related field.
- Minimum 15 years relevant experience in software development, including 8+ years of expertise in data modeling, semantic modeling, and data visualization.
- Strong expertise in other big data technologies, such as metadata catalogs, data lineage, and orchestration.
- Strong technical expertise in distributed systems, big data, and cloud computing.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Good understanding of streaming technologies, including Kafka, with experience in defining message schemas and data models.
- Outstanding communication skills and emotional intelligence to collaborate effectively with teams across the organization.
- Excellent written and verbal communication skills.
- Ability to work effectively both independently and in a collaborative team environment.
- Prior experience mentoring and providing technical guidance to junior engineers.
At Flexera, we foster a fun and engaged hybrid working environment where collaboration and innovation thrive. We value diversity and encourage applicants from underrepresented groups in technology to apply. Join our team to not only contribute to a world-class global product but also to grow in your career. At Flexera, we encourage continuous learning and provide opportunities for professional development. Flexera is proud to be an equal opportunity employer.
Data & Analytics Architect employer: Flexera
Contact Detail:
Flexera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Architect
✨Tip Number 1
Familiarise yourself with the latest big data technologies and tools mentioned in the job description, such as data lakehouse architectures and streaming technologies like Kafka. Being able to discuss these in detail during your interview will show your technical expertise and enthusiasm for the role.
✨Tip Number 2
Highlight your experience in mentoring and guiding teams, as this is a key aspect of the role. Prepare examples of how you've successfully led projects or helped junior engineers grow their skills, which will demonstrate your leadership capabilities.
✨Tip Number 3
Research Flexera's products and services thoroughly. Understanding their mission and how they empower enterprises through data insights will allow you to tailor your responses in interviews and show that you're genuinely interested in contributing to their goals.
✨Tip Number 4
Prepare to discuss your problem-solving skills and provide specific examples of complex issues you've tackled in previous roles. This will help illustrate your ability to troubleshoot and innovate, which is crucial for the Data & Analytics Architect position.
We think you need these skills to ace Data & Analytics Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, semantic modelling, and big data technologies. Use specific examples that demonstrate your expertise and align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of Flexera's mission. Mention how your skills can contribute to their goals and provide specific examples of past achievements.
Highlight Technical Skills: Clearly list your technical skills related to distributed systems, cloud computing, and streaming technologies like Kafka. Provide context on how you've applied these skills in previous roles.
Showcase Leadership Experience: If you have experience mentoring or leading teams, make sure to include this in your application. Highlight instances where you've influenced engineering practices or driven innovation in your previous positions.
How to prepare for a job interview at Flexera
✨Showcase Your Technical Expertise
As a Data & Analytics Architect, it's crucial to demonstrate your deep understanding of data modeling, semantic modeling, and big data technologies. Be prepared to discuss specific projects where you've successfully implemented these skills, highlighting the impact on the organisation.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Brush up on your troubleshooting skills and be ready to explain your thought process in tackling challenges related to distributed systems and cloud computing.
✨Emphasise Collaboration Skills
Flexera values teamwork, so be sure to highlight your experience working collaboratively with cross-functional teams. Share examples of how you've influenced and guided engineering teams to achieve common goals, showcasing your communication and emotional intelligence.
✨Demonstrate Continuous Learning
Show your commitment to professional development by discussing any recent courses, certifications, or projects that have enhanced your technical skills. Flexera appreciates candidates who are proactive about learning and staying updated with industry trends.