Big Data Architect (Remote, Full-Time) [IS002]
Team: Engineering
Location: India, Ahmedabad, Bangalore, Chennai, Delhi NCR, Mumbai, Pune
Commitment: Full-Time | Remote
Workplace Type: remote
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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