Job Description

Architect – Data Engineering Governance & Data Security

Job highlights
3+ years in data architecture with expertise in data security policies and data engineering governance

Establish and enforce data engineering governance standards, develop documentation, implement data security policies, oversee data classification, and optimize data pipelines
Job match score

Early Applicant

Key Skills

Location

Work Experience

16 – 25 Years

Not mentioned

Not disclosed

Bengaluru
Key skills
cd,continuous integration,python,data security,amazon redshift,documentation,ci/cd,pyspark,data pipeline,data architecture,data engineering,sql,data bricks,quality analysis,cloud,data quality,aws cloud,devops,data governance,aws,communication skills,architecture
Job description
What you’ll do
Architect – Data Engineering Governance & Data Security
Req number:

R5966
Employment type:

Full time
Worksite flexibility:

RemoteWho we are
CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are seeking an accomplished Architect – Data Engineering Governance & Security to join our team. This role will be instrumental in establishing and maintaining robust data engineering governance frameworks, ensuring best practices and standards are followed, and implementing advanced data security across the enterprise and self-service. You will be responsible for safeguarding data across its entire lifecycle, from ingestion and pipeline management to analytics and AI applications, while also ensuring compliance with regulatory standards.
Job Description

We are looking for an Architect – Data Engineering Governance & Data Security to develop and maintain documentation for data engineering processes. This position will be full-time and remote.

What You’ll Do

Establish, enforce, and monitor Data Engineering governance standards, best practices, and guidelines across enterprise and self-service environments.

Develop and maintain documentation for data engineering processes

Define and implement data security policies and role-based access controls (RBAC/ABAC) across all data engineering processes.

Oversee data classification, lifecycle management, and comprehensive metadata management to ensure transparency, traceability, and compliance.

Implement and manage robust change control processes for all data engineering activities

Monitor, maintain, and optimize data pipelines and workflows, ensuring reliability, scalability, and efficiency.

Continuously monitor and optimize the performance of data engineering processes and resource utilization.

Promote a culture of data engineering governance, data security awareness, and operational excellence within the team and across the organization.

What You’ll Need

Required:

Experience: 3+ years in architecture.

Data Security

Defining and implementing data security policies

Security & role-based access control (RBAC/ABAC)

Data Engineering Governance

Focuses on the practices and policies that ensure the effective management of data engineering processes:

Establishing and enforcing governance standards, best practices, and guidelines

Data classification and lifecycle management

Documentation and Metadata Management

Maintaining comprehensive documentation and metadata for data engineering processes to track data lineage, understand data transformations, and ensure transparency

Change Control Process

Implementing and maintaining effective change control for data engineering activities

Performance Monitoring and Optimization

Continuously monitoring and optimizing data engineering process performance and resource utilization

Data Pipeline Management

Ensuring data pipelines are reliable, efficient, and scalable, including monitoring, maintenance, and workflow optimization

Technical Skills

Databricks Lakehouse Platform:

Medallion Architecture

Unity Catalog (data governance, lineage)

Delta Lake & DLT Pipelines

PySpark Workbooks

Spark SQL & SQL Warehouse

Programming: Python, SQL, PySpark

AWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, Bedrock

Other:

Familiarity with DevOps and CI/CD processes

Experience with any Data Security tool

Preferred:

Certifications in Databricks, AWS, or Data Security platforms.

Experience working in regulated industries (e.g., finance, healthcare, manufacturing).

Strong communication and documentation skills.

Experience with dynamic data masking, data privacy, and compliance frameworks.

Physical Demands

Ability to safely and successfully perform the essential job functions

Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Industry type
IT Services & Consulting
Department
Engineering – Software & QA
Role
Data warehouse Architect / Consultant
Role category
DBA / Data warehousing
Employment type
Full Time, Permanent
Education
Any Graduate

Create an alert for similar jobs
Data warehouse Architect / Consultant, Bengaluru

About company
As a privately held company with a global footprint, our 9,500 associates have the freedom and the focus to do whats right for our clients, colleagues, and communities. We have a 41-year history of combining our dual strengths of talent and technology to deliver lasting results across the public and commercial sectors. And for nearly a decade, we’ve been national trailblazers in bringing neurodiversity to the enterprise. Let’s explore how we can power the possible—for you. Computer Aid, which was founded in 1981, headquartered in Pennsylvania, with offices and staff throughout the United States, Canada, Europe, and the Asia Pacific region, CAI offers a variety of delivery options including on-site, off-site, and blended solutions.
Website
https://careers.cai.io/us/en
Headquarters
4th Floor, Kalyani Magnum Block 2 Bannerghatta Road, Krishnaraju Layout DoraiSanipalya, Bengaluru, Bengaluru Urban, Karnataka, India