Data Solution Architect

We are looking for a Data Solution Architect to lead the design and evolution of modern, scalable data platforms on Microsoft AWS.

In this role, you will define architecture standards, guide engineering teams, and ensure that data platforms are secure, governed, reusable, and future-ready. You will operate at the intersection of enterprise architecture, data engineering, and cloud platform development—helping shape both strategic direction and hands-on implementation.

This is a high-impact senior position with strong influence on how data and AI capabilities are built and delivered across complex environments.

What you will do

• Define and evolve target architecture and platform standards for AWS-based data solutions

• Guide teams through architecture decisions, ensuring alignment with long-term roadmap and best practices

• Design scalable and governed data platforms, including data flows, integration patterns, and service selection

• Embed security, observability, reliability, and cost optimization into platform design from the start

• Provide hands-on architecture guidance and review technical designs across teams

• Support implementation by translating architecture into practical, reusable patterns

• Maintain architecture artifacts such as reference architectures, diagrams, and decision records

• Drive platform-as-a-product mindset, enabling self-service and reusable data capabilities

• Ensure that the platform is AI-ready, while preserving governance and clarity of responsibilities

What you bring

• Proven experience designing and implementing AWS-based data platforms

• Strong background in cloud architecture, data engineering, and platform design

• Experience working in regulated or compliance-sensitive environments - life sciences, medical devices, pharma, healthcare, banking, or government

• Ability to move seamlessly from high-level strategy to hands-on detail

• Track record of treating platforms as products, not one-off projects

• Experience leading architecture discussions and mentoring engineering teams

• Full professional English, with experience leading architecture discussions directly with enterprise clients

Technical expertise

AWS ecosystem

• Demonstrated expertise with AWS data services, including S3, Glue, Athena, Lambda, MSK, Kinesis, DynamoDB, RDS, Redshift, EMR, Step Functions, DMS, ECS, Lake Formation and DataZone

Data & engineering stack

• Apache Spark, Kafka, Airflow, dbt

• Delta Lake, Python, SQL

• Batch & streaming architectures, REST and event-driven integrations

Infrastructure & delivery

• Infrastructure as Code (Terraform)

• CI/CD (GitHub Actions, AWS DevOps)

• GitOps practices

Governance & metadata

• Data catalog and lineage tools (Purview, Unity Catalog, Atlan, OpenMetadata, etc.)

• Data contracts and schema registry patterns

What we value

• Systems thinking and ability to evaluate trade-offs and dependencies

• Pragmatic approach - balancing ideal architecture with delivery reality

• Data-driven decision making, based on patterns and evidence

• Continuous improvement mindset and comfort with iterative platform evolution

Why join HTEC

• Work on complex, enterprise-scale data platforms

• Influence the future of data & AI architecture across industries

• Collaborate with top-tier engineers and architects

• Be part of a company that values engineering excellence and ownership