![]() 18 Company Holidays including the week between Christmas & New Years.Unlimited PTO + flexibility to enjoy it. ![]() Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents.Competitive Compensation including base plus bonus.Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architecturesĪ snapshot of our many perks and benefits as a Cogniter.Technical background, willing and able to dive in and contribute code for advanced topics when needed.Have a DevOps mindset, and experience with Git, CI/CD, deployment environments.Experience with operations, including support and change control, as well as experience architecting centralized monitoring, logging and reporting.Experience with a public cloud, preferably AWS, GCP or Azure, including familiarity with network security concepts, identity providers and application hosting.Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem).Familiarity with Business Intelligence tools and enterprise analytics stacks (Power BI or similar).Broad technical experience with data and analytics stacks.Data and analytics project experience and able to confidently lead an implementation.Have experience with enterprise integration, customer relationships or IT integration design.Consulting experience that allows you to confidently negotiate requirements with customers and colleagues.Bachelor's degree is required Masters degree a plus.Experience with operational data and customer business drivers in the heavy asset industry.3+ years of experience from the heavy asset industry related to downstream, petrochemicals or energy is required.10+ years experience as an application/data/solution/enterprise architect.Credible advisor to our customers and partners on Cognite Data Fusion.Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs.Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture.Operational responsibility and support agreements for the delivered solution are clearly defined.Integrations are well thought out and robustImportant quality criteria for the solution are met (E.g.The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational).The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS).The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash). ![]()
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