Sr. Platform Engineering Lead

Bayer

Chesterfield (MO)

Hybrid

USD 192,000 - 195,000

Full time

8 days ago

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Benefits offered by this job

Health care
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Job summary

Bayer is seeking a Sr. Platform Engineering Lead in Chesterfield, MO to drive design sessions for data processing, storage, and delivery across multi-cloud platforms. You will evaluate new technologies via POCs and mentor a team of data engineers, while ensuring secure, scalable pipelines.

The role emphasizes leadership, collaboration, and hands-on engineering across Kafka, Spark, Airflow, and cloud environments, with occasional travel and the option to telecommute up to two days weekly.

Qualifications

  • Master’s degree in a related field with 2+ years of experience building ETL pipelines for large datasets.
  • Experience optimizing ETL pipelines for performance, security and reliability.
  • Hands-on with IaaC and version control for data pipelines.

Responsibilities

  • Lead design sessions for data processing, storage & delivery systems.
  • Evaluate new technologies via POCs and present results.
  • Oversee implementation of data solutions per design docs.
  • Mentor junior data engineers and perform code reviews to improve quality.
  • Travel up to 5% and telecommute up to 2 days per week from home.

Skills

Leadership
Mentoring
Communication
Code reviews

Education

Master’s in Computer Science / Information Systems / Computer Engineering or related field

Tools

Kafka
Spark
Airflow
AWS
GCP
Redshift
BigQuery
SQL

Job description

Sr. Platform Engineering Lead

Location: Chesterfield, MO

Employment Type: Regular

Responsibilities
  • Lead design sessions for data processing, storage & delivery solutions
  • Initiate & lead evaluation of new technologies including POCs and present results
  • Implement data solutions according to design documentation
  • Lead code reviews, retrospectives, and functional & integration testing to improve delivery quality
  • Mentor & train junior data engineers
Qualifications
  • Requires Master’s in Computer Science, Information Systems, Computer Engineering or closely-related field and 2 yrs experience using Java, Python, JavaScript, and/or Scala to build scalable ETL pipelines for terabyte-size datasets
  • Optimizing performance, reliability & security of ETL pipelines using APIs and encryption tools
  • Applying IaaC and version control to data pipelines
  • Using Kafka, Spark, Airflow, IAM, AWS, & GCP to develop scalable and secure data pipelines on multi-cloud platforms
  • Using Redshift, BigQuery, SQL, UDFs, & stored procedures to build scalable data marts, enable distributed data processing, and enforce secure, least-privilege data access with row/column-level security
  • Using cloud monitoring platforms, including AWS CloudWatch & Google Cloud logging, to implement real-time data pipeline alerting systems
  • Applying FinOps principles to drive cost efficiency and resource optimization strategies
  • Leading & training data engineering teams, including providing technical guidance during code reviews and evaluation of emerging technologies for platform enhancement
  • Up to 5% U.S. and international travel required
  • Telecommuting permitted from home office location within reasonable commuting distance of Chesterfield, MO up to 2 days per week
Salary

Employees can expect to be paid a salary between $192,275.00 to $195,000.00. Additional compensation may include a bonus or commission (if relevant).

Benefits
  • health care
  • vision
  • dental
  • retirement
  • PTO
  • sick leave
  • etc.
Equal Opportunity

Bayer Research & Development Services LLC is an Equal Opportunity Employer/Disabled/Veterans

Bayer Research & Development Services LLC is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodations(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Job Details

Reference Code: 889991

Division: Crop Science

Functional Area: Data Engineering

Location: Chesterfield, MO

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