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For Companies At a Glance
- Tasks: Lead the design and development of innovative data solutions while managing performance and customer relationships.
- Company: Join a leading Microsoft Partner known for cutting-edge data solutions and a collaborative culture.
- Benefits: Enjoy a permanent role with opportunities for continuous learning and professional growth.
- Why this job: Be at the forefront of data technology, making a real impact on businesses and their data strategies.
- Qualifications: 5+ years in data roles with expertise in Microsoft Azure technologies and strong leadership skills required.
- Other info: Ideal for those passionate about data science and eager to stay ahead of industry trends.
Microsoft Data Solutions Architect needed for a permanent opportunity for a leading Microsoft Partner. Is this the role you are looking for? If so, read on for more details, and make sure to apply today.
Key Role Responsibilities
- Articulate Data Value: Understand and communicate the value data brings to an organization in alignment with business goals.
- Design and Development Leadership: Lead the design and development of data solutions, including coding, testing, and defect resolution.
- Hands-on Development: Actively develop components of data solutions.
- Requirement Identification: Identify and translate functional, technical, and non-functional requirements into user stories for the team.
- Performance Management: Manage performance, optimize costs, and execute unit and integration testing for data pipelines and reports.
- Customer and Team Advisory: Advise on effort estimation and technical implications of user stories, manage work breakdown from inception to delivery, and oversee the team's backlog.
- Customer Relationship Management: Maintain key relationships with decision-makers, including CxOs, throughout project delivery.
- Industry Trends Awareness: Stay updated on trends in data science and engineering, including techniques, competitors, partners, and technology.
- Continuous Improvement: Promote best practices and continuous improvement in data solutions.
Education, Qualifications, and Skills
- Experience: 5+ years in data roles.
- Technical Skills:
- Development experience with Microsoft (Azure) technologies, including Azure Data Factory, Synapse, and Power BI, or relevant ETL tools.
- Expertise in Microsoft Fabric or Databricks.
- Experience with technology partners or consulting organizations is highly desirable.
- Leadership experience in technical teams (engineers, analysts, architects) for data-intensive systems.
- Proficiency in SQL or SQL extensions for analytical use cases.
- Deep understanding of distributed data stores and data processing frameworks.
- Ability to communicate technical designs clearly, both written and verbally.
- Proficiency in designing analytical and operational data models.
- Background in Data Architecture, Engineering, or Analytics with knowledge of modern enterprise architecture patterns.
- Proven track record in delivering data-oriented solutions, including data warehousing, operational insight, data management, or business intelligence.
- Certifications: Azure/Databricks data certifications are desirable.
If you want the opportunity to take your career to the next level, please apply now.
Microsoft Data Solution Architect employer: Innovative Tech People
Contact Detail:
Innovative Tech People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Data Solution Architect
✨Tip Number 1
Network with professionals in the data solutions field, especially those who work with Microsoft technologies. Attend industry events, webinars, or local meetups to connect with potential colleagues and decision-makers who can provide insights into the role and company culture.
✨Tip Number 2
Familiarise yourself with the latest trends in data science and engineering, particularly around Microsoft Azure services like Data Factory and Synapse. Being able to discuss these topics during interviews will demonstrate your passion and commitment to staying current in the field.
✨Tip Number 3
Prepare to showcase your hands-on development experience by discussing specific projects where you led the design and implementation of data solutions. Highlight your problem-solving skills and how you managed performance and optimisation in those projects.
✨Tip Number 4
Brush up on your communication skills, as this role requires clear articulation of technical designs to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms to ensure you can effectively convey your ideas during interviews.
We think you need these skills to ace Microsoft Data Solution Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Microsoft Data Solutions Architect position. Tailor your application to highlight how your experience aligns with these key responsibilities.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of experience in data roles, particularly focusing on your expertise with Microsoft Azure technologies, SQL, and any leadership roles you've held in technical teams.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as your experience with Azure Data Factory, Synapse, Power BI, and any relevant certifications. Use specific examples to demonstrate your hands-on development experience.
Communicate Effectively: Ensure that your application communicates your ability to articulate complex technical concepts clearly. This is crucial for a role that involves advising customers and managing relationships with decision-makers.
How to prepare for a job interview at Innovative Tech People
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Microsoft Azure technologies, especially Azure Data Factory and Power BI. Highlight specific projects where you led the design and development of data solutions, demonstrating your hands-on skills.
✨Communicate the Value of Data
Articulate how data aligns with business goals during the interview. Prepare examples of how you've previously communicated the value of data to stakeholders, particularly CxOs, to showcase your ability to bridge technical and business perspectives.
✨Demonstrate Leadership Skills
Since the role involves leading technical teams, be ready to share experiences where you managed a team or project. Discuss how you handled work breakdowns, effort estimations, and maintained team backlogs to illustrate your leadership capabilities.
✨Stay Updated on Industry Trends
Research current trends in data science and engineering before the interview. Be prepared to discuss recent advancements or techniques you've encountered, showing your commitment to continuous improvement and staying ahead in the field.
