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Solution Architect - Data

Sydney, NS-Level37 TowerTwo, New South Wales, Australia

Actively hiring, first seen by us 5 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid remote
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 and manage multiple teams of data engineers and testers

  • Design and optimize data models, pipelines, and transformations on Databricks and dbt Cloud

  • Establish and enforce data governance standards and engineering best practices

  • Translate business requirements into clear, actionable technical deliverables

  • Lead data integration initiatives across multiple business and technology domains

From the employer’s posting
Lead and manage multiple teams of data engineers and testers to deliver high-quality outcomes.
Design and optimize data models, pipelines, and transformations using Databricks and dbt Cloud.
Establish and enforce data governance standards and engineering best practices.
Collaborate with business stakeholders to translate requirements into clear, actionable technical deliverables.
Lead data integration initiatives across multiple business and technology domains.

What you’ll bring

All qualifications

Core experience

  • Proven experience as a Data Architect or Senior Data Engineer.
  • Solid understanding of data warehousing, dimensional modeling, and ELT/ETL patterns.
  • Proficiency in SQL and Python.
  • Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences.
  • Ability to influence decision-making and build consensus across cross-functional teams.

Preferred experience

  • Experience with Data Vault 2.0 methodology, including hubs, links, and satellites.
  • Familiarity with Amazon Web Services (AWS).
  • Knowledge of streaming architectures and real-time data processing.
Qualification wording
Proven experience as a Data Architect or Senior Data Engineer.
Solid understanding of data warehousing, dimensional modeling, and ELT/ETL patterns.
Proficiency in SQL and Python.
Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences.
Ability to influence decision-making and build consensus across cross-functional teams.
Experience with Data Vault 2.0 methodology, including hubs, links, and satellites.
Familiarity with Amazon Web Services (AWS).
Knowledge of streaming architectures and real-time data processing.
Apply at Cognizant

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
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 5

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

From 7,797 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
  • AWS
  • Databricks
  • dbt
  • Delta Lake
  • PySpark
Where the posting names them
- Solid understanding of data warehousing, dimensional modeling, and ELT/ETL patterns. - Proficiency in SQL and Python. - Demonstrated people-management experience, with a track record of leading and growing technical teams.
- Experience with Data Vault 2.0 methodology, including hubs, links, and satellites. - Familiarity with Amazon Web Services (AWS). - Knowledge of streaming architectures and real-time data processing.
We are seeking an accomplished Solution Architect with deep expertise in modern data platforms and a strong track record of leading data engineering teams. This role is responsible for shaping scalable data solutions, guiding delivery across multiple teams, and translating business priorities into high-quality technical outcomes. The ideal candidate combines hands-on experience with Databricks and dbt Cloud, sound data architecture practices, and effective people and stakeholder leadership. Key Responsibilities:
- Lead and manage multiple teams of data engineers and testers to deliver high-quality outcomes. - Design and optimize data models, pipelines, and transformations using Databricks and dbt Cloud. - Establish and enforce data governance standards and engineering best practices.
- Proven experience as a Data Architect or Senior Data Engineer. - Strong hands-on expertise with Databricks, including Lakehouse architecture, Delta Lake, Unity Catalog, and PySpark. - Strong hands-on expertise with dbt Cloud, including data transformation, testing, documentation, and CI/CD practices.
- Knowledge of streaming architectures and real-time data processing. - Relevant certifications in Databricks, cloud platforms, or data management. Benefits: Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
- Strong hands-on expertise with Databricks, including Lakehouse architecture, Delta Lake, Unity Catalog, and PySpark. - Strong hands-on expertise with dbt Cloud, including data transformation, testing, documentation, and CI/CD practices. - Solid understanding of data warehousing, dimensional modeling, and ELT/ETL patterns.

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 ↗

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

We are seeking an accomplished Solution Architect with deep expertise in modern data platforms and a strong track record of leading data engineering teams. This role is responsible for shaping scalable data solutions, guiding delivery across multiple teams, and translating business priorities into high-quality technical outcomes.

The ideal candidate combines hands-on experience with Databricks and dbt Cloud, sound data architecture practices, and effective people and stakeholder leadership.

Key Responsibilities:

  • Lead and manage multiple teams of data engineers and testers to deliver high-quality outcomes.
  • Design and optimize data models, pipelines, and transformations using Databricks and dbt Cloud.
  • Establish and enforce data governance standards and engineering best practices.
  • Collaborate with business stakeholders to translate requirements into clear, actionable technical deliverables.
  • Lead data integration initiatives across multiple business and technology domains.
  • Manage, mentor, and develop data engineering teams through effective task allocation, performance reviews, and technical guidance.
  • Drive predictable delivery through sprint planning, prioritization, progress tracking, and timely removal of blockers.


Required Qualifications:

  • Proven experience as a Data Architect or Senior Data Engineer.
  • Strong hands-on expertise with Databricks, including Lakehouse architecture, Delta Lake, Unity Catalog, and PySpark.
  • Strong hands-on expertise with dbt Cloud, including data transformation, testing, documentation, and CI/CD practices.
  • Solid understanding of data warehousing, dimensional modeling, and ELT/ETL patterns.
  • Proficiency in SQL and Python.
  • Demonstrated people-management experience, with a track record of leading and growing technical teams.
  • Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences.
  • Strong client and stakeholder management experience, including leading workshops, presenting deliverables, and managing expectations.
  • Ability to influence decision-making and build consensus across cross-functional teams.


Preferred Qualifications:

  • Experience with Data Vault 2.0 methodology, including hubs, links, and satellites.
  • Familiarity with Amazon Web Services (AWS).
  • Knowledge of streaming architectures and real-time data processing.
  • Relevant certifications in Databricks, cloud platforms, or data management.

Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

· You can pursue innovative career tracks and opportunities here

· You can enhance your professional development through education and dedicated training

· We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.


Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.

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Sydney, NS-Level37 TowerTwo, New South Wales, Australia

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