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DigiCert

Senior Data Platform Engineer

DigiCert · India, Remote

Posted 29 days ago

or apply directly on DigiCert's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
DigiCert's roles stay open a median of 32 days
Reposted
No
Salary listed
No
1% of DigiCert's roles list one
Ghost-job risk at DigiCert
high
25 stale, 2 reposted of 68 open
Hiring momentum
112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from DigiCert's own greenhouse board since 2026-08-03. Full hiring picture for DigiCert.

About this role

The Senior Data Platform Engineer at DigiCert will design, build, and maintain data and machine learning infrastructure to support analytics and reporting. This role involves creating scalable data pipelines, managing Databricks infrastructure, and collaborating with data scientists to operationalize machine learning models. The engineer will also define platform standards, ensure data quality, and mentor junior engineers.

Our read on this posting3.2out of 5
benefits
2/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DigiCert as an employer.

What you need

  • 6+ years of experience in data engineering, data platform, or ML engineering roles
  • Strong proficiency in Python and SQL
  • Hands-on Databricks expertise: Delta Lake, Unity Catalog, Databricks Workflows, PySpark
  • Experience building and maintaining ML pipelines in production
  • Familiarity with MLflow or comparable experiment tracking and model registry tools
  • Experience working on cloud data platforms (AWS, Azure, or GCP)

Nice to have

  • Experience with streaming or near real-time pipelines (Kafka, Kinesis, Spark Structured Streaming)
  • Familiarity with feature store platforms (Databricks Feature Store, Feast, or Tecton)
  • Experience with LLM pipelines, RAG architectures, or AI/BI tooling (Genie, AI Functions)
  • Knowledge of data quality and observability tooling (Great Expectations, Monte Carlo, etc.)
  • Exposure to dbt or similar SQL-based transformation frameworks

What you get

  • Generous time off policies
  • Top shelf benefits
  • Education, wellness and lifestyle support

Worth weighing

  • No salary listed
  • Role requires strong collaboration with both technical and non-technical stakeholders
  • Mentoring junior engineers is expected, which may require additional time commitment

Summarised from DigiCert's posting. Read the full original.

Listed by DigiCert on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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