Big Data Architect

🕒 March 2

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Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

☁️ SaaS

🎯 Recruiter

B2B • SaaS • Recruitment

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• 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

🏖️ 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