Senior Solution Architect
| Company | Cognite |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- 7+ years experience as an application/data/solution/enterprise architect
- 2+ years of experience from the heavy asset industry (Oil & Gas, Manufacturing or Power & Utilities)
- Experience with operational data and customer business drivers in the heavy asset industry
- Bachelor’s degree is required; Masters degree a plus
- Consulting experience that allows you to confidently negotiate requirements with customers and colleagues
- Have experience with enterprise integration, customer relationships or IT integration design
- Data and analytics project experience and able to confidently lead an implementation
- Broad technical experience with data and analytics stacks
- Familiarity with Business Intelligence tools and enterprise analytics stacks (Power BI or similar)
- Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem)
- Experience with a public cloud, preferably AWS, GCP or Azure, including familiarity with network security concepts, identity providers and application hosting
- Experience with operations, including support and change control, as well as experience architecting centralized monitoring, logging and reporting
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Technical background, willing and able to dive in and contribute code for advanced topics when needed
- Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures.
Responsibilities
- As a Senior Solutions Architect, you will be an expert in how we implement our Cognite SaaS offerings and applications.
- Your primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that:
- The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash)
- The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS)
- The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational)
- Integrations are well thought out and robustImportant quality criteria for the solution are met (E.g. CI/CD, logging, security)
- Operational responsibility and support agreements for the delivered solution are clearly defined
- Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture
- Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs
- Credible advisor to our customers and partners on Cognite Data Fusion.
Preferred Qualifications
- Experience with operations, including support and change control, as well as experience architecting centralized monitoring, logging and reporting.