Hybrid Senior Data Solutions Architect

Posted last month

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About the role

  • Design and implement end-to-end data architecture solutions that support business intelligence, analytics, and operational reporting needs.
  • Collaborate with stakeholders and technical teams to understand data requirements and translate them into scalable, maintainable solutions.
  • Lead the integration of data from various sources using tools such as Talend, ensuring data quality, consistency, and governance.
  • Architect cloud-based data platforms and pipelines using AWS services such as S3, Glue, Redshift, Lambda, and others.
  • Establish and enforce best practices for data modeling, ETL/ELT processes, and data security across the organization.
  • Provide technical leadership and mentorship to data engineers and developers, guiding solution design and implementation.
  • Translate business needs into technical solutions and drive enterprise-level analytics and data integration initiatives.

Requirements

  • 8+ years of experience in data architecture, data engineering, or related fields.
  • Strong expertise in AWS cloud services and architecture patterns for data solutions.
  • Hands-on experience with Talend for data integration, transformation, and orchestration.
  • Proficiency in SQL and scripting languages such as Python or Scala.
  • Deep understanding of data modeling, data warehousing, and ETL/ELT best practices.
  • Experience with data governance, security, and compliance frameworks.
  • Excellent communication and leadership skills, with the ability to work across teams and geographies.
  • Candidates ideally located in Bangalore or Pune; flexibility to consider Hyderabad or Chennai.
  • Must be able to work onsite two days per week.

Job title

Senior Data Solutions Architect

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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