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Head of Data Engineering (MS SQL server)

Reads like a Data Leadership role: running a data team.

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Lead the data engineering team and manage the development of data infrastructure

  • Design, build and maintain data pipelines, data lakes and data warehouses

  • Work with product leaders to turn data needs into solutions for the SaaS product

  • Put data governance and data quality practices in place

  • Monitor and tune data system performance

From the employer’s posting
Lead the data engineering team and manage the development and maintenance of our data infrastructure
Design, develop, and implement data pipelines, data lakes, and data warehouses
Collaborate with product leaders to understand data needs and develop solutions
Ensure data quality and integrity by implementing data governance and data management best practices
Monitor and optimize performance of data systems

What you’ll bring

All qualifications

Core experience

  • 10+ years in data engineering and management, focused on Microsoft SQL Server
  • Experience leading a team of data engineers in a SaaS product environment
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Strong knowledge of data warehousing, data modeling, pipelines and ETL/ELT
  • Experience with data governance and data management best practices

Preferred experience

  • Experience with SaaS product development and management is a plus.
  • Experience working with telecom operators is a plus.
Qualification wording
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
Bachelor's degree in Computer Science, Engineering, or a related field.
Strong understanding of data warehousing, data modeling, data pipelines, and ETL/ELT processes
Experience with data governance and data management best practices in a SaaS product environment
Experience with SaaS product development and management is a plus.
Experience working with telecom operators is a plus.
Education & alternatives
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.

About Invia Private

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.

In the employer’s words · Read in context

Apply at Invia Private

Posting record

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Open 4 monthsWe first saw this posting 133 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026133 days ago
Recorded sightings
50
Last seen by us
Nov 13, 2026
Employer says posted
Feb 13, 2024

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 133

Up longer than most. Similar jobs usually come down between day 8 and day 57.

From 9,462 similar postings that came down. Coming down is not always a hire.

Invia Private is hiring

2 open jobs

  • No new data jobs since July
Hiring record

See how this role fits your experience

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  • SQL
  • SQL Server
Where the posting names them
Job Description 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:
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.
- 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.
Additional Information Key skills: ★SQL Server ★Data Warehousing ★Data Modeling ☆Data Pipeline ☆ETL/ ELT processes ☆Data Governance ☆Data Management Company Description

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Job Description

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

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

Additional Information

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

Company 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.

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Noida, UP, India

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