Senior Data Solutions Architect EU

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Solutions Architect in the European Union.

We are seeking a highly experienced Senior Data Solutions Architect to join a dynamic, client-focused team delivering cloud-based data solutions. In this role, you will provide technical leadership, guide data engineering teams, and design complex end-to-end data platforms that drive business impact. You will work on projects spanning data lakes, warehouses, real-time streaming, and AI/ML solutions, ensuring scalability, security, and compliance. This role combines hands-on technical execution with strategic planning, offering the opportunity to influence cloud architecture, mentor engineers, and engage directly with clients in a collaborative, fast-paced environment.

Accountabilities

• Lead design and implementation of cloud-based data platforms and analytics solutions
• Provide technical expertise to data engineers and consult on best practices during engagements
• Conduct technical discovery sessions and whiteboard design workshops with clients and internal teams
• Build end-to-end data pipelines for batch and real-time processing, integrating ETL/ELT workflows
• Oversee AI/ML solution design, training, and MLOps lifecycle automation
• Ensure governance, compliance, and cost-optimized cloud operations across projects
• Maintain strong client relationships as a trusted advisor, managing scope, expectations, and project deliverables

• 5+ years of experience in public cloud environments (AWS preferred)
• 5+ years of software development experience using Python, Java, or Scala
• Hands-on experience building complex data engineering pipelines, ETL/ELT processes, and real-time streaming systems
• Proficiency with relational databases (Oracle, SQL Server, MySQL, Postgres) and NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.)
• Experience designing Data Lakes, Data Warehouses, and enterprise analytics solutions
• Knowledge of cloud-based tools and platforms for streaming, BI, AI/ML, and object storage (Kafka, Kinesis, Spark Streaming, Tableau, S3, Glacier, etc.)
• Consulting experience with strong communication, presentation, and mentoring skills
• Familiarity with compliance frameworks such as GDPR, HIPAA, PCI, or PIPEDA
• Ability to manage multiple stakeholders and deliver client-facing projects in a consulting or professional services environment

Preferred / Nice-to-Have:

• Expertise in AI/ML model deployment and optimization
• Experience with caching systems (Redis) and cloud object stores
• Familiarity with data governance, data quality, lineage, anonymization, and lifecycle management

• Fully remote work environment across the European Union
• Flexible hours and work-life balance
• Opportunity to work with advanced cloud and data technologies
• Exposure to diverse client projects and the ability to influence enterprise data strategy
• Collaborative, inclusive, and growth-oriented team culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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