Smart Working

Big Data Architect

Smart Working

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformSQL

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modellingschema designdata warehouse designdata lake designenterprise data schemasSQLETL processesELT processesdata integrationdata pipelines
Soft Skills
collaborationcommunicationguidanceproject planningrisk awarenessbest practices promotionpeer reviewarchitectural insight