Big Data Architect (Remote, Full-Time) [IS002]

 Posted 4 months ago
  
 India
  
5-10 years experience
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AI Summary

The Big Data Architect will define current and future-state data architectures, ensuring scalability and efficiency for data-driven products within the iGaming industry. This involves assessing the existing platform, performing gap analysis, and guiding technical decision-making across the software lifecycle.

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


As a Big Data Architect, you will play a key role in shaping and evolving the data architecture that underpins highly demanding, data-driven products within the iGaming industry. This role sits within the Data Engineering team, working closely with the Lead Big Data Engineer, Enterprise Data Architect, and BI leadership from the earliest stages of solution design.


You will be responsible for defining current and future-state data architectures, ensuring scalability, efficiency, and alignment with best practices. Your expertise will directly influence platform evolution, technical decision-making, and delivery planning across the full software lifecycle.

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Responsibilities
  • Assess the current (“as-is”) data platform and define the future-state architecture in collaboration with the Big Data Engineering leadership
  • Perform gap analysis and contribute to the implementation of the future-state data platform
  • Work closely with internal stakeholders including team leads, enterprise architecture, data governance, and data DevOps teams
  • Draft and review big data architectures alongside senior engineering and BI leadership to ensure optimal technical solutions
  • Support refinement sessions by contributing accurate effort sizing and architectural input
  • Provide guidance to avoid silos by ensuring architectural decisions are inclusive and scalable across teams
  • Contribute to project planning through architectural insight and risk awareness
  • Promote best practices across the Big Data Engineering team, ensuring data accuracy, validity, reusability, and consistent coding standards
  • Stay up to date with emerging Big Data technologies and trends, communicating their value clearly to both technical and non-technical audiences
  • Support collective peer review practices and improve overall architectural quality


Requirements
  • Strong experience in data modelling and schema design
  • Proven background designing data warehouses, data lakes, and enterprise data schemas
  • Deep understanding of data flows, data lifecycle management, and enterprise data frameworks
  • Excellent SQL knowledge with hands-on experience in query authoring
  • Strong experience with both relational and non-relational databases, including columnar databases
  • Solid understanding of ETL/ELT processes, data integration, and data pipelines
  • Familiarity with data governance, lineage, and metadata management
  • Experience working with cloud data platforms such as AWS, Azure, or GCP
  • Understanding of modern data stacks and streaming technologies
  • Knowledge of data privacy, security frameworks, and regulatory compliance
  • Ability to design secure data architectures and implement data protection strategies


Nice to Have
  • Experience working in high-scale, data-intensive industries such as iGaming or similar digital platforms
  • Exposure to enterprise-wide data transformation initiatives
  • Strong stakeholder management skills, including collaboration with governance and compliance teams
  • Experience contributing to architectural standards and long-term platform strategy
  • Ability to mentor engineers on architectural best practices and design principles


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


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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. 

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