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- Tasks: Design and build scalable data assets in the Microsoft Azure ecosystem.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Lead impactful projects and shape the future of data architecture.
- Qualifications: 12+ years in data engineering with strong Azure expertise.
- Other info: Collaborative team environment with a focus on agile methodologies.
We are looking for a seasoned data professional to support the Client Data Delivery Team in designing and building scalable, future-proof data assets within the Microsoft Azure ecosystem. This role involves technical consulting, hands-on development, and leadership in data modelling, orchestration, and semantic layer design.
Key Responsibilities:
- Provide technical consulting to the Data Engineering Manager during the design phase.
- Collaborate with a small team of Business Data Engineers to build new data assets.
- Lead the design and development of dimensional data models and Power BI semantic models.
- Replace legacy SAP Business Objects universes with modern Azure-based solutions.
- Utilize Azure Data Factory (ADF), stored procedures, and Azure Synapse for data processing.
- Guide the team on best practices, architecture, and documentation standards.
- Engage with stakeholders to ensure solutions are aligned with business needs.
- Integrate metadata sourcing from Collibra and support model curation using tools like Tabular Editor.
- Participate in agile ceremonies, code reviews, and solution design reviews.
Required Skills & Experience:
- 12+ years of experience in data engineering domain with 5+ years of experience in designing Data Warehouses, Medallion Architecture.
- Experience to translate technical business requirements in data models.
- Proven experience in designing and implementing dimensional models and semantic layers.
- Strong expertise in Azure Synapse/ MS Fabric, and other related Azure Data management services such as ADF, SQL database, ADLS/ Storage Accounts, and Power BI.
- Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor).
- Excellent communication and stakeholder management skills.
- Experience working in agile environments and leading technical teams.
Data Architect employer: Zensar Technologies
Contact Detail:
Zensar Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Data Architect role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Azure and data modelling. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Azure Data Factory, dimensional models, and stakeholder management. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure, data modelling, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, don't forget to showcase your technical skills, especially in Azure services like ADF and Synapse. Mention specific projects or achievements that demonstrate your expertise. We’re keen to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Zensar Technologies
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of the Microsoft Azure ecosystem, especially Azure Data Factory, Synapse, and Power BI. Be ready to discuss how you've used these tools in past projects and how they can be leveraged to build scalable data assets.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples that highlight your leadership experience. Think about times when you guided a team through a complex project or helped them adopt best practices in data modelling and architecture.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, orchestration, and semantic layer design. Brush up on dimensional models and be ready to explain your thought process in designing these models, as well as any challenges you faced and how you overcame them.
✨Engage with Stakeholders
Demonstrate your communication skills by preparing to discuss how you've engaged with stakeholders in previous roles. Be ready to share examples of how you ensured that data solutions aligned with business needs and how you handled feedback during the development process.
