Junior Solutions Architect - MLOps & Real-Time Data Integration at Striim, Inc.
$120,000–$130,000from the description
Jul 23, 2026
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Jul 25, 2026
What this job asks for AI summary
An early-career role focused on designing and building real-time data integration and streaming architectures using the Striim platform. Day-to-day work spans creating CDC pipelines, connecting enterprise databases to cloud data platforms and AI/ML environments, developing proof-of-concepts, and producing technical documentation. Best suited to someone with a grounding in data science and MLOps who wants to grow toward a solution architecture career.
Junior level · 1+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
Location is not specified in the posting; no CBSA or state could be determined. The role may be remote or at an unspecified office — remote=false is set conservatively since the posting does not explicitly state remote eligibility.
The degree requirement states 'Bachelor's or Master's degree'; Bachelor's is treated as the minimum hard floor since the Master's is listed as an alternative, not an upgrade gate.
The cloud data platforms (Databricks, Snowflake, BigQuery, Amazon Redshift, Azure Synapse) and cloud providers (AWS, Azure, GCP) are listed together in a single requirements-section bullet as an 'or' list, indicating familiarity with any of these satisfies the requirement; all are captured individually for discoverability.
MLflow, Kubeflow, Vertex AI, SageMaker, and Azure Machine Learning are listed as interchangeable examples of MLOps platforms in the requirements section; MLflow is used as the primary with the others as alternatives.
Kubernetes and Git appear in the requirements section but are explicitly softened with 'familiarity with', distinguishing them from the harder gates in the same bullet; marked as preferred accordingly.
The posting mentions commission-based rewards in addition to the $120,000–$130,000 base salary range; the comp fields reflect base only.
SOC classification is a judgement call: the role's primary day-to-day work is designing streaming data integration and CDC architectures (data/pipeline architecture), which aligns with 15-1243 Database Architects. However, the heavy ML/data-science framing makes 15-2051 Data Scientists a plausible runner-up.
Read the full posting
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