or apply directly on phData's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days phData's roles stay open a median of 37 days
- Reposted
- No
- Salary listed
- No 0% of phData's roles list one
- Ghost-job risk at phData
- high 16 stale, 10 reposted of 45 open
- Hiring momentum
- 77 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 phData's own greenhouse board since 2026-08-03. Full hiring picture for phData.
About this role
As a Senior DevOps Engineer at phData, you will lead the operational support and reliability of cloud data platforms, particularly Snowflake and AWS/Azure solutions. Your role involves troubleshooting, incident management, and collaborating with various teams to deliver high-quality services to clients. You will also contribute to internal initiatives and mentor junior engineers while utilizing AI tools to enhance efficiency in your work.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- 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 phData as an employer.
What you need
- 6+ years of experience in DevOps, cloud data platform operations, and/or production support for data and analytics workloads
- Working knowledge of SQL with the ability to write, debug, and optimize queries
- Experience providing operational support for a cloud-native data warehouse (Snowflake and/or Amazon Redshift) across a large user base
- Hands-on experience with Relational Database Management Systems such as Oracle or Microsoft SQL Server
- Experience working in a production support environment, including monitoring and supporting scheduled data jobs and pipelines (ETL/ELT)
- Working knowledge of Unix/Linux environments and common system administration concepts
Nice to have
- Production support experience and/or certifications with core data platforms such as Snowflake, AWS, Azure, or Databricks
- Experience with cloud and distributed data storage technologies such as Amazon S3, Azure Data Lake Storage (ADLS), or similar cloud storage services
- Exposure to supporting AI platforms and workloads (e.g., Anthropic Claude, LLM-powered applications) in production environments
- Experience with data integration and streaming technologies such as Spark, Kafka, Matillion, Fivetran, dbt, AWS Database Migration Service, or Azure Data Factory
- Experience with workflow management and orchestration tools such as Apache Airflow, AWS Managed Airflow
What you get
- Remote-First Work Environment
- 401k plan with company match
- Dental and Vision insurance
- Home Office Equipment Stipend
- Annual stipend for Learning and Development
- Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)
Worth weighing
- No salary listed
- Role requires collaboration across time zones, which may require flexibility in working hours
- The position involves supporting 24x7 production systems, which could lead to on-call responsibilities
Summarised from phData's posting. Read the full original.
Listed by phData on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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