Senior Solution Architect

Cognite • Houston, TX

1d

About The Position

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. The Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. The Senior Solutions Architect is responsible for the design of complex end-to-end solutions, merging Cognite's flagship products with the customer's portfolio, for both new and existing clients. This role is a mix of consulting, architecture, and product development in a welcoming cross-functional team. The Senior Solutions Architect will be an expert in how Cognite implements its SaaS offerings and applications. Their primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that the right data visualization technology, data transformation technology, and data modeling are used correctly, integrations are well thought out and robust, important quality criteria for the solution are met, and operational responsibility and support agreements are clearly defined. They will design overall technical solutions, ensure technical fit within the customer ecosystem and target architecture, design integration and data models, and act as a credible advisor to customers and partners on Cognite Data Fusion.

Requirements

• 7+ years experience as an application/data/solution/enterprise architect.
• 2+ years of experience from the heavy asset industry (Oil & Gas, Manufacturing or Pharmaceuticals) is required.
• Experience with operational data and customer business drivers in the heavy asset industry.
• Bachelor's degree is required.
• 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.

Nice To Haves

• Masters degree a plus.

Responsibilities

• Design of complex end to end solutions, merging Cognite's flagship products with the customer's portfolio, for both new and existing clients.
• Map technical requirements and architect robust and familiar solutions.
• Identify opportunities for new products and features, and work with product managers and tech leads to continuously improve Cognite's SaaS offering.
• 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).
• Map requirements for a quality implementation ensuring that the right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS).
• Map requirements for a quality implementation ensuring that the data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational).
• Map requirements for a quality implementation ensuring that integrations are well thought out and robust.
• Map requirements for a quality implementation ensuring that important quality criteria for the solution are met (E.g. CI/CD, logging, security).
• Map requirements for a quality implementation ensuring that 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.
• Act as a credible advisor to customers and partners on Cognite Data Fusion.

Benefits

• Competitive compensation
• 401(k) with employer matching
• Competitive health, dental, vision & disability coverages for employees and all dependents
• Unlimited PTO
• Paid Parental Leave Program
• Employee Referral Program
• Paid mobile phone and WiFi

What This Job Offers

• Job Type: Full-time
• Career Level: Senior