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Senior Data Engineer (DATABRICKS)

Mastercard

Senior Data Engineer (DATABRICKS)

Mastercard

Dublin, Ireland

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Wellness benefits

Learning and development stipend

Remote work flexibility

Parental leave program

Required Skills

Apache Spark

Airflow

SQL

About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

View Company Profile

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Engineer (DATABRICKS)

Role Overview:

As a Senior Databricks Administrator, you will be responsible for the setup, configuration, administration, and optimization of the Databricks Platform on AWS. This role will play a critical part in managing secure, scalable, and high-performing Databricks environments, with a strong focus on governance, user access management, cost optimization, and platform operations. You will collaborate closely with engineering, infrastructure, and compliance teams to ensure that the Databricks platform meets enterprise data and regulatory requirements.

Key Responsibilities:

  1. Databricks Platform Administration (AWS)
    Provision, configure, and manage Databricks Workspaces across multiple environments (Dev, UAT, Prod).
    Define and enforce cluster policies, compute tagging, and usage controls to optimize cost and resource utilization.
    Administer Unity Catalog, including creation and management of catalogs, schemas, access control, and data lineage.
    Manage SCIM integrations for user/group provisioning with Id Ps like Okta or Azure/AWS SSO.
    Configure and maintain CI/CD pipelines for notebook deployment and workflow promotion using GitHub, GitLab, or similar tools.

  2. Security, Governance & Compliance
    Implement and enforce role-based access controls (RBAC) and fine-grained data permissions using Unity Catalog and Lake Formation.
    Ensure auditability and lineage tracking for compliance with Open Banking, GDPR, and PSD2 regulations.
    Configure and manage token scopes, secrets management, and credential passthrough for secure access to underlying data.
    Work with Info Sec and compliance teams to ensure platform security aligns with regulatory frameworks.

  3. Monitoring, Support & Troubleshooting
    Monitor workspace performance, cluster health, job execution, and user activity using Databricks native tools, CloudWatch, and third-party integrations.
    Provide L2/L3 support for Databricks usage issues, including notebook errors, job failures, and workspace anomalies.
    Maintain operational runbooks, automation scripts, and alerting mechanisms for platform health and governance events.

Automation & Best Practices:

Build and manage Terraform/IaC scripts for environment provisioning and infrastructure consistency.
Define naming conventions, resource tagging standards, and workspace governance guidelines.
Promote standardization of reusable notebook templates, shared cluster configurations, and workflow orchestrations.
Drive internal knowledge sharing, onboarding, and platform enablement sessions.

Must-have Skills:

6+ years of experience in Databricks administration on AWS or multi-cloud environments.
Deep understanding of Databricks workspace architecture, Unity Catalog, and cluster configuration best practices.
Strong experience in managing IAM policies, SCIM integration, and access provisioning workflows.
Hands-on experience with monitoring, cost optimization, and governance of large-scale Databricks deployments.
Hands-on experience with infrastructure-as-code (Terraform) and CI/CD pipelines.
Experience with ETL orchestration and collaboration with engineering teams (Databricks Jobs, Workflows, Airflow).

Good-to-Have Skills:

Understanding of Delta Lake, Lakehouse architecture, and data governance patterns.
Experience in AWS Glue and database technologies SQL (Amazon Aurora) and NoSQL (MongoDB/DynamoDB)
Exposure to regulated industries such as banking, fintech, or healthcare.

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Experience with incident response, audit logging, and security remediation.

  • Preferred CertificationsDatabricks Certified Data Engineer Associate/ProfessionalDatabricks Certified Lakehouse Platform AdministratorAWS Certified Solutions Architect
  • Associate Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Client-provided location(s): Dublin, Ireland

Job ID: Mastercard-22331_R-249220

Employment Type: OTHER

Posted: 2025-08-13T19:18:05
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Pet Insurance
  • Mental Health Benefits
  • Virtual Fitness Classes
  • Health Reimbursement Account

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources
  • On-site/Nearby Childcare
  • Adoption Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Some Meals Provided

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Volunteer Time Off

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling
  • Stock Purchase Program
  • 401(K)
  • Company Equity

Professional Development

  • Tuition Reimbursement
  • Promote From Within
  • Mentor Program
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Work Visa Sponsorship
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

Junior/L3

Director

Junior/L3 · Data Engineer

5 reports

$137,800

total / year

Base

$106,000

Stock

-

Bonus

-

$107,900

$166,918

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience