Back to jobs

Architect - Data Engineering

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
  • Define data models and build efficient data ingestion processes for reporting

  • Build automated dashboards and reports with business intelligence tools

  • Identify and validate data sources and fold in stakeholder feedback

  • Document requirements for new security reporting

  • Determine key risk indicators and build the tools for data harvesting

From the employer’s posting
defining data models, and building out efficient data ingestion processes for reporting
automated dashboards and reports
identifying and validating data sources input from stakeholders and incorporating feedback in the development of risk-based metrics
documenting requirements for new reporting
Enable design and deployment of the mechanisms and tools for data harvesting and determine key risk indicators

Tools in this posting

  • SQL
  • Azure
  • SQL Server
Source — Tool mentions in context
Overview The cybersecurity Data Eng Sr Engineer is a role within the PepsiCo cybersecurity organization to assist in the development and sustainment of the security metrics program. The candidate will contribute to the development and maturity of the security metrics program including people, process and technology. They will support PepsiCo’s security agenda by providing risk based insights for varied global audiences ranging from operational leaders to PepsiCo’s Board of Directors through data and dashboard development. Responsibilities The candidate will: Contribute to the development and implementation of the security metrics program Be responsible for maintaining internal stakeholder and data provider relationships Be responsible for ensuring complete, accurate, and timely reporting of analytics and insights to stakeholders Be responsible for documenting requirements for new reporting, including recommending and implementing business intelligence capabilities, centralized data collection and archival, and automated dashboards and reports Be responsible for defining data models, and building out efficient data ingestion processes for reporting Be responsible for identifying and validating data sources input from stakeholders and incorporating feedback in the development of risk-based metrics Contribute to the identification and effective communication of information security risks identified by data mining a single source or aggregating multiple data sources Be responsible for defining, implementing, and monitoring best practices and processes for the security metrics program Enable design and deployment of the mechanisms and tools for data harvesting and determine key risk indicators Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related discipline 8+ years of experience in SQL Server, or similar relational database methodologies 8+ years of experience writing ETL or similar data ingestion methods 6+ years of experience in Azure cloud services such as Azure Data Factory, ADLS etc… 6+ years of experience in Data Bricks and DBSQL Strong experience in the collection and aggregation of various data sources for reporting and archiving of statistical data Strong experience and proven leadership in developing, reporting, and communicating analytic results Strong communication and relationship building skills Working knowledge of information security industry frameworks (e.g. ISO, NIST, COBIT) Experience with identifying, analyzing, and reporting on value-added key risk indicators and key performance indicators related to information security, cybersecurity or broader IT Candidate must have strong analytical skills to determine how a system should work and how changes in conditions, operations, and the environment will affect outcomes Candidate must be able to understand information security risks and determine ways to identify measures that will accurately reflect the current degree of risk Knowledgeable in the Information Security domain Candidate must be able to identify measures or indicators of data quality and the actions needed to improve or correct performance, relative to the goals of the system

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 5, 202630 days ago
Recorded sightings
182
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 30

Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

PepsiCo is hiring

47 open jobs

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

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 2% of open jobs were reposted
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

About the role

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

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Overview The cybersecurity Data Eng Sr Engineer is a role within the PepsiCo cybersecurity organization to assist in the development and sustainment of the security metrics program. The candidate will contribute to the development and maturity of the security metrics program including people, process and technology. They will support PepsiCo’s security agenda by providing risk based insights for varied global audiences ranging from operational leaders to PepsiCo’s Board of Directors through data and dashboard development. Responsibilities The candidate will: Contribute to the development and implementation of the security metrics program Be responsible for maintaining internal stakeholder and data provider relationships Be responsible for ensuring complete, accurate, and timely reporting of analytics and insights to stakeholders Be responsible for documenting requirements for new reporting, including recommending and implementing business intelligence capabilities, centralized data collection and archival, and automated dashboards and reports Be responsible for defining data models, and building out efficient data ingestion processes for reporting Be responsible for identifying and validating data sources input from stakeholders and incorporating feedback in the development of risk-based metrics Contribute to the identification and effective communication of information security risks identified by data mining a single source or aggregating multiple data sources Be responsible for defining, implementing, and monitoring best practices and processes for the security metrics program Enable design and deployment of the mechanisms and tools for data harvesting and determine key risk indicators Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related discipline 8+ years of experience in SQL Server, or similar relational database methodologies 8+ years of experience writing ETL or similar data ingestion methods 6+ years of experience in Azure cloud services such as Azure Data Factory, ADLS etc… 6+ years of experience in Data Bricks and DBSQL Strong experience in the collection and aggregation of various data sources for reporting and archiving of statistical data Strong experience and proven leadership in developing, reporting, and communicating analytic results Strong communication and relationship building skills Working knowledge of information security industry frameworks (e.g. ISO, NIST, COBIT) Experience with identifying, analyzing, and reporting on value-added key risk indicators and key performance indicators related to information security, cybersecurity or broader IT Candidate must have strong analytical skills to determine how a system should work and how changes in conditions, operations, and the environment will affect outcomes Candidate must be able to understand information security risks and determine ways to identify measures that will accurately reflect the current degree of risk Knowledgeable in the Information Security domain Candidate must be able to identify measures or indicators of data quality and the actions needed to improve or correct performance, relative to the goals of the system
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Hyderabad, India

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting