At a Glance
- Tasks: Design and architect modern Azure data platforms to unlock business value through data.
- Company: Join Apexon, a digital-first tech firm transforming businesses with innovative solutions.
- Benefits: Enjoy career growth, technical certification opportunities, and a dynamic work environment.
- Other info: Apexon values diversity and is committed to equal employment opportunities.
- Why this job: Be at the forefront of data modernization using cutting-edge Microsoft technologies.
- Qualifications: Proven experience in Azure data services and strong communication skills required.
The predicted salary is between 72000 - 88000 £ per year.
About
Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences.
We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, Dev Ops, Io T, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.
Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
The Role
- We are looking for an experienced
- Data Solution Architect with deep expertise in
Microsoft Azure data services and cloud-native architecture .
This role is ideal for someone who thrives at the intersection of strategy and delivery — designing modern, scalable, and secure Azure data platforms that empower organizations to unlock business value through data.
As a key technical leader, you will define cloud data strategies, architect end-to-end Azure data solutions, and guide engineering teams through delivery.
This is a client-facing role, where you’ll influence stakeholders, contribute to pre-sales, and ensure solutions adhere to Azure best practices, governance frameworks, and enterprise standards.
Key Responsibilities
Architect and design end-to-end Azure data platforms , including ingestion, storage, transformation, analytics, and visualization layers.
- Build solutions leveraging
Azure Data Lake, Synapse Analytics, Data Factory, Databricks, Event Hubs, Stream Analytics, Power BI , and related services.
- Translate complex business requirements into scalable, cost-efficient, and maintainable Azure data architectures.
- Create and present high-level and low-level architecture designs, ensuring clarity across technical and business teams.
- Collaborate closely with data engineers, cloud engineers, and solution architects to ensure seamless implementation of designed solutions.
- Establish and enforce
Azure architecture standards , reusable frameworks, and data engineering best practices.
- Evaluate and adopt new
Azure tools, frameworks, and services to enhance the data ecosystem.
- Support pre-sales engagements
— developing solution proposals, architecture blueprints, and estimations for client opportunities.
- Partner with senior stakeholders and C-level executives to define cloud data strategies and modernization roadmaps.
- Ensure security, compliance, and governance are embedded across all Azure data solutions.
- Provide technical leadership and mentorship to data engineering teams, promoting continuous improvement and innovation.
- What We’re Looking For
- Proven experience as a
- Data Solution Architect or
- Data Platform Architect with a primary focus on
Azure .
- Hands‑on expertise with
Azure Data Factory, Synapse Analytics, Data Lake Storage (Gen2), Databricks, Power BI, Event Hubs, and Functions .
- Strong background in data modeling, data warehousing, and real-time/batch data processing .
- Experience implementing data integration pipelines, ETL/ELT workflows, and data transformation frameworks on Azure.
- Knowledge of
Azure security and identity management (RBAC, Key Vault, Managed Identities, networking, and encryption) .
- Familiarity with cost optimization techniques and
Azure monitoring tools (e. g., Log Analytics, Azure Monitor).
- Understanding of
Dev Ops and CI/CD practices using Azure Dev Ops or Git Hub Actions for data pipeline deployment.
- Excellent communication and stakeholder management skills, capable of articulating technical concepts to non-technical audiences.
- Strong analytical mindset with proven problem-solving ability.
- Experience working in agile delivery environments.
- Preferred Qualifications
- Microsoft Certified: Azure Solutions Architect Expert or
Azure Data Engineer Associate certifications.
- Experience with data governance, lineage, and compliance frameworks
(e. g., Purview, GDPR).
- Knowledge of
Power BI administration and data visualization best practices.
- Exposure to hybrid or multi-cloud environments
(advantageous but not essential).
- Experience mentoring junior architects and engineers.
Why Join Us?
- Be at the forefront of building modern Azure-based data ecosystems for leading enterprises.
- Work with cutting‑edge Microsoft technologies and contribute to data modernization initiatives.
- Collaborate with talented teams and influential clients in a dynamic, innovation-driven environment.
- Excellent opportunities for career growth, technical certification, and continuous learning.
Our Commitment to Diversity & Inclusion
Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.
Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace.
We take affirmative action to ensure equal employment opportunity for all qualified individuals.
Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
- Seniority level
- Mid‑Senior level
- Employment type
- Full-time
- Job function
- Information Technology
- Industries
- IT Services and IT Consulting
- #J-18808-Ljbffr
Senior Data Architect employer: Apexon
Join a forward-thinking company in Sunderland, UK, where as a Project Manager, you will thrive in a collaborative and innovative work culture that prioritises employee growth and development. With a focus on the Energy and Utility sectors, we offer competitive benefits and the opportunity to work with cutting-edge technology solutions, ensuring that your contributions lead to meaningful impacts for our clients. Our commitment to fostering strong relationships and delivering excellence makes us an exceptional employer for those seeking a rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Apexon!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Architect at Apexon.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Apexon.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Architect at Apexon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Apexon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Apexon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Apexon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Apexon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
