Cloud Data Architect, AWS

This is a fully remote position, open to applicants in Poland.

📋 Description

• Consulting with clients—both existing and prospective—on solutions. Advising on the selection of technical solutions that are appropriate for the client's business challenges. Striving to choose cost-effective solutions that effectively address the client's issues.

• Participating in early-stage client meetings—pitching our experience, process, and technology approach, as well as inquiring, gathering, and detailing requirements.

• Contributing substantively to proposals—designing the suggested architecture, calculating Total Cost of Ownership/Return on Investment/cloud costs using cloud provider calculators.

• Estimating project costs and evaluating the involvement of Data Solutions representatives in the project.

• Building persuasive arguments to convince clients of our solutions, highlighting advantages over alternative approaches.

• Participating in meetings to present offers, addressing client questions, and showcasing solutions that our segment supports.

• Engaging in research and development activities to analyze the functionality and applicability of new technologies and tools in clients' business solutions.

• Maintaining regular contact with decision-makers in the Data domain on the client’s side (VP, IT Director).

• Creating Proof of Concepts (PoC) in the Data area to demonstrate results from ongoing R&D efforts.

• Designing and developing comprehensive data processing platforms, considering all components and their connections to other solutions (e.g., BI and ML) within the cloud ecosystem.

• Optimizing overall solutions/systems for data storage and analysis.

• Maintaining relationships with the technical team on the client’s side.

• Coordinating the work of engineers involved in creating the solution.

• Overseeing the entire project from start to finish.

• Contributing to the growth of the Data Solutions business line (recruiting employees, clients, training, participating in conferences, mentoring, etc.).

⛳️ Requirements

• You have **at least 5 years of experience working with data in AWS cloud** (validated by commercially implemented projects) and experience in a **Lead Developer/Architect or similar role**.

• You possess knowledge of Data services in AWS.

• You are very familiar with **Databricks**, with a particular focus on the latest functionalities of this platform (e.g., Delta Live Tables and Unity Catalog).

• You know tools, mechanisms, and processes, such as **CI/CD, IaaC/Terraform, Git**.

• You can create and modify data models and select the appropriate model for the problem being solved (**DWH, Data Marts, Data Lake, Delta Lake, Data Lakehouse**).

• **Lambda and Kappa architectures** are well within your understanding.

• You know how to build solutions for data analysis in "near to real time".

• Monitoring, diagnostics, and troubleshooting in the cloud are not challenges for you, and you know how to plan infrastructure and calculate its cost.

• You have knowledge about migrating on-premise solutions to the cloud and understand basic migration types.

• You know how to implement mechanisms related to the secure storage and processing of data in the cloud.

• You have participated in pre-sales meetings.

• You exhibit strategic and analytical thinking, good self-organization skills, independence, adaptability, communication skills, and proactivity.

• You possess the ability to mentor and train less experienced individuals and lead initiatives to support their development.

• Delivering presentations and talks at industry events is not a source of anxiety for you.

• You are open to business travel.

• You are proficient in **English at an advanced level, minimum C1**.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and the possibility of remote work.

• Access to the latest technologies and tools in the industry.

• A supportive and collaborative work environment.