Senior Data Solutions Architect with AWS Wroclaw

Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.

As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.

Responsibilities:

• Strategic Technical Leadership

- Lead complex, high-impact customer engagements focused on AWS Data Platform solutions. - Define and drive technical strategies that align AWS capabilities with customer business objectives, incorporating Databricks (as a plus) solutions where appropriate.

• Solution Architecture and Design

- Architect and design scalable data platforms using AWS, ensuring optimal performance, reliability, security, and cost efficiency. - Evaluate and select appropriate technologies and tools to meet customer needs, integrating AWS services with other solutions such as Databricks, and Snowflake as necessary. - Establish, fulfill, and maintain comprehensive architectural documentation to ensure alignment with technical standards and best practices across the organization.

• Pre-Sales Activities

- Collaborate with the sales team during the pre-sales process by providing technical expertise to position AWS-based data solutions effectively. - Participate in customer meetings to assess technical needs, scope potential solutions, and identify opportunities for growth. - Create technical proposals, solution architectures, and presentations to support sales efforts and ensure alignment with customer expectations. - Assist in responding to RFPs/RFIs by providing accurate technical input and aligning solutions to client requirements. - Demonstrate AWS capabilities through POCs (Proof of Concepts) and technical demonstrations to help customers evaluate the proposed solutions.

• Customer Engagement and Relationship Management

- Build and maintain strong relationships with key customer stakeholders, serving as a trusted advisor on data platform initiatives. - Lead discovery workshops to understand customer requirements, KPIs, and technical constraints.

• Project Leadership and Delivery

- Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery. - Manage technical risks and develop mitigation strategies to address potential challenges.

• Innovation and Best Practices

- Stay abreast of the latest developments in AWS, Databricks, data engineering, and cloud technologies. - Develop and promote best practices in data platform architecture, data pipelines, and data governance.

• Cross-Functional Collaboration

- Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platforms. - Work with DevOps teams to implement CI/CD pipelines and automation for data workflows.

• Mentorship and Knowledge Sharing

- Mentor junior architects and engineers, fostering a culture of continuous learning and professional development. - Contribute to knowledge-sharing initiatives, including writing technical blogs, case studies, and presenting at industry events.

• Governance, Compliance, and Security

- Ensure that AWS-based data platform solutions comply with relevant security standards and regulations. - Implement data governance frameworks to maintain data quality and integrity.
Requirements:

• Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Experience

- Minimum of 8 years of experience in data solution architecture, with at least 3 years focused on AWS. - Proven experience in designing and implementing large-scale data engineering solutions on AWS. - Experience with Databricks is a plus. 

• Technical Skills

- Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. - Proficient in programming languages like Python, SQL, and Scala. - Experience with data warehousing, ETL processes, and real-time data streaming. - Familiarity with open-source technologies and tools commonly used in data engineering.

• Certifications

- AWS Certified Solutions Architect – Professional or similar AWS certifications are a plus.

• Soft Skills

- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. - Strong leadership and project management skills. - Ability to work collaboratively in a cross-functional team environment.
Will Be a Plus:

• Certifications in Databricks.
• Experience with AWS Migration Acceleration Programs (MAP).
• Experience with AI/ML integration in data platforms.
• Contributions to open-source projects or active participation in the data engineering community.

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