Head of Data Engineering (MS SQL server)

Invia Private Limited

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Noida, UP, in on site Until 8/22/2026 First posted March 23, 2025 Last posted March 23, 2025
Job description

About Company

About INVIA: Headquartered in Sydney, Australia, Invia is a software services firm that specializes in delivering world class solutions to Telcos for their enterprise customers. With over 15 years experience working with telcos globally, were always looking to the future to overcome ongoing and emerging business challenges together. Founded in 2007 by some of the brightest brains in the industry, the Company's operations are managed by a team of highly skilled professionals spread across the globe. Some of the largest telcos including Telstra, Optus, Singtel, and many others benefit from our world-leading solutions which have been voted as the best in the industry. For fueling our aggressive expansion plans in India, we are on the lookout for enthusiastic team members who want to be a part of our growth story. Opportunities are open for IT Professionals to be based out of NOIDA, India. We offer excellent compensation, a friendly work environment and tremendous opportunities for growth. Pl visit our website www.invia.com.au for more information.

We are seeking a highly skilled Head of Data Engineering to lead our data engineering team and manage the development and maintenance of our data infrastructure at our SaaS product company. The ideal candidate will have a strong background in Microsoft SQL Server and experience leading a team of data engineers in a SaaS product environment.

Responsibilities:

  • Lead the data engineering team and manage the development and maintenance of our data infrastructure, with a focus on Microsoft SQL Server in a SaaS product environment.
  • Design, develop, and implement data pipelines, data lakes, and data warehouses to support business and SaaS product requirements.
  • Collaborate with product leaders to understand data needs and develop solutions to meet those needs and improve our SaaS product offerings.
  • Ensure data quality and integrity by implementing data governance and data management best practices.
  • Monitor and optimize performance of data systems to ensure they are running efficiently.
  • Continuously evaluate and implement new technologies and tools to improve data engineering processes.
  • Build and maintain relationships across the organization to ensure data engineering efforts align with overall business objectives.

Please do not apply, if you do not have experience in SaaS product development.

 

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in data engineering and management, with a focus on Microsoft SQL Server in a SaaS product environment.
  • Proven experience leading a team of data engineers in a SaaS product environment.
  • Strong understanding of data warehousing, data modeling, data pipelines, and ETL/ELT processes in a SaaS product environment.
  • Experience with data governance and data management best practices in a SaaS product environment.
  • Strong problem-solving and analytical skills.
  • Excellent communication and leadership skills.
  • Experience with SaaS product development and management is a plus.

Experience working with telecom operators is a plus.

Exp: 10-16yrs

Salary: Rs. 45L – 55L pa

Key skills: ★SQL Server ★Data Warehousing ★Data Modeling ☆Data Pipeline ☆ETL/ ELT processes ☆Data Governance ☆Data Management

About this role

Summary

Lead data engineering team, develop data infrastructure, optimize performance, ensure data quality in SaaS environment

Job title

Head of Data Engineering (MS SQL server)

Experience level

10+ years

Industry

software

Location requirements

Based in Noida, India, remote not specified

Salary

Rs. 45L – 55L pa

Management role

Yes

Skills & keywords

Required skills

SQL ServerData WarehousingData ModelingETL/ELT processesData GovernanceData Management

Preferred skills

Data PipelineSaaS product developmenttelecom experience

Specializations

SQL ServerData WarehousingData ModelingETL/ELT processesData Governance
Locations

Structured locations inferred from the posting.

Noida, Uttar Pradesh, India

On-site City