Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Azure Data Architect

Dublin
2 days ago
Create job alert

Job Title: Senior Azure Data Architect

Location: Dublin
Employment Type: Full Time
About the Role:

We are seeking a highly experienced Senior Azure Data Architect to lead the design and implementation of scalable, secure, and high-performance data solutions on Microsoft Azure. This role is ideal for someone with deep expertise in Azure data services, Dataverse, Microsoft Fabric, and SQL, and who has spent at least 5 years in architectural roles delivering enterprise-grade solutions.

Key Responsibilities:

  • Design and architect end-to-end data solutions using Azure services including Azure Synapse, Data Lake, Databricks, Azure SQL, and Microsoft Fabric.

  • Lead the integration of Dataverse with other Azure components and enterprise systems.

  • Define data governance, security, and compliance strategies aligned with organizational policies.

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

  • Provide technical leadership and mentorship to data engineers and developers.

  • Optimize data pipelines and storage for performance, scalability, and cost-efficiency.

  • Stay current with Azure innovations and recommend adoption of new technologies where appropriate.

    Required Skills & Experience:

  • 5+ years of experience as a Data Architect, with a strong focus on Azure.

  • Proven expertise in Azure Data Services, including Azure SQL, Synapse, Data Factory, Data Lake, and Microsoft Fabric.

  • Hands-on experience with Dataverse and its integration within the Power Platform and Azure ecosystem.

  • Strong proficiency in SQL and data modeling for both transactional and analytical systems.

  • Deep understanding of data architecture principles, including data warehousing, lakehouse, and real-time analytics.

  • Experience with data governance, security, and compliance frameworks.

  • Excellent communication and stakeholder management skills.

    Note: Innovative Tech People is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status

Related Jobs

View all jobs

Azure Data Architect

Azure Data Architect | Water & Renewables | Own the Data Architecture | 10% Bonus + 16% Pension

Azure Data Architect | Up to £85,000 + 10% Bonus & 16% Pension | 1 day a week onsite

Data Architect - Azure Data Factory – SC Cleared

Data Architect

Lead Azure Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.