Smart Working Solutions is hiringCloud Data Architect
About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We’re looking for a Cloud Data Architect (Azure) to design and lead the next phase of our cloud data strategy. You’ll define and implement best practices for scaling data workloads across Azure and Snowflake, ensuring performance, security, and cost efficiency.
Working for a leading wealth management organisation that’s fully Azure-native, this role will be key in shaping a robust, compliant, and future-proof data platform — empowering data-driven insights that support exceptional financial advice and investment management.
Responsibilities
- Define and implement data architecture strategies across Azure and Snowflake, optimising for performance, scalability, and cost efficiency.
- Lead the integration of Snowflake with Azure services such as Data Lake, Synapse, and Blob Storage.
- Design and maintain data models and schemas, ensuring consistency, scalability, and alignment with business requirements.
- Establish cost governance frameworks and monitor performance metrics to ensure optimal resource usage.
- Oversee Infrastructure-as-Code (IaC) development using Terraform or Bicep for environment provisioning and management.
- Ensure security, compliance, and access control frameworks meet financial services standards and regulatory obligations.
- Collaborate with engineering, analytics, and compliance teams to align architecture with organisational goals.
- Advise on emerging technologies and best practices to continuously improve the Azure data ecosystem.
Requirements
- 7+ years of experience in cloud data architecture, with a focus on Azure-native platforms.
- Proven expertise with Azure Data Lake, Synapse, and Blob Storage — designing and scaling data pipelines and storage solutions.
- Hands-on experience integrating Snowflake with Azure services, including authentication, ingestion, and cost/performance tuning.
- Strong background in data modelling, schema design, and query optimisation.
- Experience implementing Infrastructure-as-Code using Terraform or Bicep.
- Solid understanding of security, compliance, and access management, preferably within financial services or regulated environments.
- Ability to translate business needs into scalable, maintainable data architecture solutions.
Nice to Have
- Exposure to multi-cloud environments or hybrid data architectures.
- Familiarity with CI/CD automation for data infrastructure.
- Experience mentoring teams or leading cross-functional data initiatives.
- Understanding of governance frameworks (ISO 27001, GDPR) or financial data compliance standards.
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
At Smart Working, you’ll never be just another remote hire.
Be a Smart Worker — valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
If that sounds like your kind of place, we’d love to hear your story.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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