Informacje o stanowisku

Minimum Requirements:

• Minimum 5 years of experience in IT, including at least 3.5 years working with data in AWS cloud (confirmed by commercially implemented projects) and at least 1 year in a Lead Developer/Architect role or similar .
• Knowledge of AWS Data services.
• Strong familiarity with Databricks , particularly the latest features of the platform (e.g., Delta Live Tables and Unity Catalog).
• Knowledge of tools, mechanisms, and processes such as CI/CD, IaaC/Terraform, Git.
• Ability to create and modify data models and choose the appropriate model for the problem at hand (DWH, Data Marts, Data Lake, Delta Lake, Data Lakehouse. )
• Familiarity with Lambda and Kappa architectures.
• Experience in building near real-time data analysis solutions.
• Proficient in monitoring, diagnostics, and problem-solving in the cloud, with the ability to plan infrastructure and estimate costs.
• Knowledge of migrating on-premise solutions to the cloud and understanding basic migration types.
• Understanding of secure data storage and processing mechanisms in the cloud.
• Participation in pre-sales meetings.
• Strategic and analytical thinking, good self-organization, independence, adaptability, communication skills, and proactivity.
• Ability to mentor and train less experienced individuals and lead initiatives for their developmental support.
• Comfortable presenting at industry events.
• Willingness to travel for business.
• Proficient in English at an advanced level, minimum C1.

Responsibilities:

• Consulting solutions with clients - both current and new. Advising on the selection of technical solutions appropriate to the clients business problem, striving for cost-optimal solutions that address the clients needs.
• Participating in early-stage client meetings - pitching our experience, processes, and technology approach, asking questions, gathering and detailing requirements.
• Contributing to proposals - designing proposed architecture, calculating Total Cost of Ownership/Return of Investment/cloud costs using cloud provider calculators.
• Estimating project involvement and costs for Data Science representatives.
• Building arguments to convince clients of our solution, showcasing advantages over alternative approaches.
• Participating in meetings presenting the offer, answering client questions, showcasing our solution segment.
• Conducting research and development on the functionality and applicability of new technologies and tools in client business solutions.
• Regular contact with decision-makers in the Data area on the client side (VP, IT Director).
• Creating Proof of Concepts (PoC) in the Data area to present results from R&D efforts.
• Designing and building the entire data processing platform, considering all its parts and connections with other solutions (e.g., BI and ML) within the cloud ecosystem.
• Optimizing overall data storage and analysis solutions/systems.
• Maintaining relationships with the technical team on the client side.
• Coordinating the work of engineers involved in creating the solution.
• Overseeing the entire project from start to finish.
• Engaging in the development of the Data Solutions business line (recruiting employees, clients, training, participating in conferences, mentoring, etc.).

Contact:

Damaris Letkiewicz

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