Lead Data Engineer, AWS Architect

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

📋 Description

• Supervise teams of data engineers and analytics specialists, offering technical guidance and mentorship throughout the project lifecycle.

• Design and implement cloud-native data platforms on AWS, creating schemas and ingestion pipelines capable of managing structured data from various sources such as Excel feeds, legacy databases, and external systems.

• Develop, maintain, and oversee ETL/ELT pipelines using AWS Glue and Step Functions, ensuring dependable data transformation, validation, and quality assurance at every phase.

• Lead the infrastructure-as-code initiative utilizing Terraform — provisioning, versioning, and overseeing all cloud resources with complete reproducibility and environment consistency.

• Provide comprehensive reporting solutions via Power BI, converting intricate data models into user-friendly dashboards that deliver actionable, near-real-time insights to stakeholders.

• Clearly and persuasively articulate complex technical concepts and architectural decisions to non-technical stakeholders, enabling informed decision-making at all levels.

• Develop and uphold best practices regarding data quality, pipeline monitoring, documentation, and incident management.

• Engage in pre-sales and discovery activities, leveraging technical expertise to assist in scoping, estimation, and business development efforts.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related discipline.

• Over 7 years of experience in data engineering, cloud infrastructure, or platform development, showcasing a proven track record of delivering production-quality data solutions.

• Extensive hands-on experience with AWS data services — particularly Glue, Step Functions, S3, RDS/Redshift, IAM, and CloudWatch.

• Proficient in SQL and Python for data transformation, pipeline orchestration, and scripting tasks.

• Significant experience with Terraform or similar Infrastructure as Code (IaC) tools for managing cloud infrastructure.

• Established ability to design and enhance ETL/ELT pipelines for data ingestion from diverse sources.

• Experience in creating dashboards and data models in Power BI (or equivalent BI tools such as Tableau or Looker).

• Strong understanding of data modeling, schema design, and data warehousing principles.

• Excellent communication, presentation, and stakeholder management skills — comfortable leading technical discussions with engineering teams and presenting insights to C-level executives alike.

• Strong leadership skills with experience in mentoring engineers and promoting best practices across teams.

🏝️ Benefits

• A collaborative, knowledge-sharing culture founded on transparency and mutual respect.

• Flexible working hours that enable you to achieve a balance between work and personal life.

• Unlimited home office resources to help maintain productivity and focus.

• Opportunities for professional growth, including certifications and training.

• Additional benefits for academic teaching and speaking opportunities.

• Knowledge-sharing sessions for learning from our Dreamix team.

• Team and company-wide events that foster connection among colleagues.

• Exciting week-long summer office and winter office initiatives.

• Additional health insurance and dental allowances to support your well-being.

• Multisport card to promote a healthy and active lifestyle.

• Office massages available to help you relax and unwind.