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Data Tech Lead

Pay
Pay not listed
Work setting
Not stated
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
  • Own end-to-end service delivery and SLA/KPI compliance for supported applications

  • Manage major incidents, escalations, and stakeholder communications

  • Maintain SQL/Python pipelines and notebooks in Databricks

  • Govern production changes, releases, and CAB activities

  • Manage support team performance, resourcing, and shift coverage

From the employer’s posting
Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
Manage major incidents, escalations, and stakeholder communications to minimize business disruption.
Maintain SQL/Python-based pipelines and notebooks in Databricks
Govern production changes, release deployments, CAB activities, and operational readiness reviews.
Manage support team performance, resource planning, shift coverage, knowledge management, and continuous improvement activities

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, IT, Engineering, or related field
  • Strong SQL and Python skills for data processing and automation
  • Hands-on Databricks operational experience (notebooks, jobs, monitoring)
  • Good SQL skills for analytics and reporting
  • Excellent written and spoken English and Mandarin
Qualification wording
Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
Strong SQL/Python skills for data processing and automation
Hands-on Databricks operational experience (notebooks, jobs, monitoring)
Good SQL skills for analytics and reporting
Excellent written and spoken English and Mandarin
Education & alternatives
Job Requirements - Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. - Strong SQL/Python skills for data processing and automation
Apply at Cognizant

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20267 days ago
Recorded sightings
10
Last seen by us
Nov 4, 2026

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 7

Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Cognizant is hiring

140 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
Where the posting names them
- Execute BAU analytics and data tasks for assigned markets - Maintain SQL/Python-based pipelines and notebooks in Databricks - Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. - Strong SQL/Python skills for data processing and automation - Hands-on Databricks operational experience (notebooks, jobs, monitoring)
- Hands-on Databricks operational experience (notebooks, jobs, monitoring) - Good SQL skills for analytics and reporting - Strong leadership, communication, analytical, and problem-solving skills.
- Strong SQL/Python skills for data processing and automation - Hands-on Databricks operational experience (notebooks, jobs, monitoring) - Good SQL skills for analytics and reporting

Your next step

Complete your application on careers.cognizant.com. The employer’s form will show what is required.

Already applied? Track this application

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 ↗

Key Responsibilities

  • Execute BAU analytics and data tasks for assigned markets
  • Maintain SQL/Python-based pipelines and notebooks in Databricks
  • Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
  • Manage major incidents, escalations, and stakeholder communications to minimize business disruption.
  • Coordinate with business users, development teams, vendors, and platform owners to resolve production issues in a timely manner
  • Drive proactive monitoring, root cause analysis, recurring issue elimination, and continuous service improvement initiatives.
  • Govern production changes, release deployments, CAB activities, and operational readiness reviews.
  • Produce service performance reports, operational dashboards, and executive management updates.
  • Manage support team performance, resource planning, shift coverage, knowledge management, and continuous improvement activities
  • Drive operational excellence initiatives to improve service quality and efficiency
  • Ensure compliance with IT governance, audit, security, and data privacy requirements

Job Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
  • Strong SQL/Python skills for data processing and automation
  • Hands-on Databricks operational experience (notebooks, jobs, monitoring)
  • Good SQL skills for analytics and reporting

  • Strong leadership, communication, analytical, and problem-solving skills.
  • ITIL, PMP, PRINCE2, Agile, or ServiceNow certifications are advantageous.

  • Excellent written and spoken English and Mandarin

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Source details

View original posting ↗

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Location & working pattern

Hong Kong, Hong Kong

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