Dreamix Ltd.

Information Technology and Services

LeadDataEngineer(AWSArchitect)

Sofia, Sofia City Province, Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer (AWS Architect) at Dreamix Ltd.. Skills: AWS Data Services, Data Engineering, Cloud Architecture, ETL/ELT Pipeline Development, Terraform, SQL, Python, Data Modeling, Power BI. Drive the design, implementation, and evolution of cloud-native data platforms on AWS. Own the end-to-end architecture of data ingestion, transformation, and delivery pipelines”

What You'll Achieve.

Deliver production-grade data solutions; Ensure data solutions are robust, scalable, and aligned with business needs; Provide stakeholders with actionable, near-real-time insights

Industry & Context.

Information Technology and Services
Problems you'll solve

Translating complex data models into intuitive dashboards that provide stakeholders with actionable, near-real-time insights

What They're Looking For.

Must Have

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field, 7+ years of experience in data engineering, cloud infrastructure, or platform development, with a demonstrated track record of delivering production-grade data solutions, hands-on experience with AWS data services — particularly Glue, Step Functions, S3, RDS/Redshift, IAM, and CloudWatch, Proficiency in SQL and Python for data transformation, pipeline orchestration, and scripting, Solid experience with Terraform or equivalent IaC tooling for managing cloud infrastructure, Proven ability to design and optimize ETL/ELT pipelines for data ingestion from heterogeneous sources, Experience building dashboards and data models in Power BI (or equivalent BI tools such as Tableau or Looker), understanding of data modeling, schema design, and data warehousing concepts, Exceptional communication, presentation, and stakeholder management skills — comfortable leading technical discussions with engineering teams and presenting insights to C-level audiences alike, leadership capabilities with experience mentoring engineers and driving best practices across teams

Nice to Have

Experience with additional AWS services such as Lambda, Athena, Lake Formation, or EventBridge, Familiarity with CI/CD pipelines for data infrastructure (e. g. , GitHub Actions, CodePipeline), Exposure to data governance, cataloging, or lineage tooling, Experience working in consulting or multi-client delivery environments

What You'll Do.

and evolution of cloud-native data platforms on AWS

Own the end-to-end architecture of data ingestion

and delivery pipelines

Lead teams of data engineers and analytics professionals

providing technical direction and mentorship

Architect and implement cloud-native data platforms on AWS

Design schemas and ingestion pipelines that handle structured data from diverse sources

and maintain ETL/ELT pipelines using AWS Glue and Step Functions

Own the infrastructure-as-code practice using Terraform

Deliver end-to-end reporting solutions through Power BI

Translate complex technical concepts and architectural decisions to non-technical stakeholders

Establish and enforce best practices around data quality

and incident response

Participate in pre-sales and discovery efforts

How You'll Work.

Team & Collaboration

Lead teams of data engineers and analytics professionals; Provide technical direction and mentorship across the project lifecycle; Translate complex technical concepts and architectural decisions to non-technical stakeholders; Facilitate informed decision-making at all levels; Comfortable leading technical discussions with engineering teams; Presenting insights to C-level audiences; Driving best practices across teams; Collaborative, knowledge-sharing culture

Communication Scope

Exceptional communication; Presentation skills; Stakeholder management skills; Clearly and persuasively translate complex technical concepts and architectural decisions to non-technical stakeholders; Presenting insights to C-level audiences

Process & Methodology

Project lifecycle management, Scoping, Estimation

Full Job Description

Dreamix was founded 19 years ago by passionate IT students who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. We believe that the employer-employee relationship must be in the form of partnership, not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. **About the Role:** We are looking for a skilled and motivated Lead Data Engineer to drive the design, implementation, and evolution of cloud-native data platforms on AWS. In this role, you will own the end-to-end architecture of data ingestion, transformation, and delivery pipelines — from heterogeneous source systems through to executive-facing BI dashboards. You will combine deep technical expertise with strong stakeholder engagement to ensure data solutions are robust, scalable, and aligned with business needs. **Responsibilities:** * Lead teams of data engineers and analytics professionals, providing technical direction and mentorship across the project lifecycle * Architect and implement cloud-native data platforms on AWS, designing schemas and ingestion pipelines that handle structured data from diverse sources including Excel feeds, legacy databases, and third-party systems * Design, develop, and maintain ETL/ELT pipelines using AWS Glue and Step Functions, ensuring reliable data transformation, validation, and quality enforcement at every stage * Own the infrastructure-as-code practice using Terraform — provisioning, versioning, and managing all cloud resources with full reproducibility and environment consistency * Deliver end-to-end reporting solutions through Power BI, translating complex data models into intuitive dashboards that provide stakeholders with actionable, near-real-time insights * Translate complex technical conce

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