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.
- 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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