Data Engineer/ Architect Consultant

Must have skills: Data Engineering/Architect with Snowflake, AWS, dbt, Python and SQL, Data Mesh.
Seeking a highly experienced Tech Lead / Senior Architect – Data Engineering to drive the design and implementation of enterprise-grade data platforms for a global engagement. This role will focus on building scalable, secure, and compliant data solutions to support advanced analytics, clinical insights, and business intelligence.

Tasks

Key Responsibilities

Lead the end-to-end architecture, design, and implementation of scalable data platforms using Snowflake.

Define and enforce data architecture standards, including modeling, naming conventions, and best practices.

Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools.

Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions.

Drive data governance, lineage, cataloging, and quality frameworks across the platform.

Ensure compliance with European data regulations (e.g., GDPR) and pharma-specific standards.

Implement CI/CD pipelines and DataOps practices for automated testing, deployment, and monitoring of data workflows.

Optimize Snowflake performance, including query tuning, clustering, and cost management.

Provide technical leadership, architectural guidance, and mentorship to engineering teams.

Evaluate emerging tools and technologies to continuously improve the data ecosystem.

Work closely with DevOps and infrastructure teams to ensure high availability, scalability, and security.

Requirements

Mandatory Skills

Strong hands-on expertise in Snowflake (data warehousing, performance tuning, security, cost optimization).

Deep understanding of data warehousing concepts (dimensional modeling, star/snowflake schemas).

Advanced proficiency in SQL and complex query optimization.

Extensive experience in ETL/ELT development, especially with DBT.

Experience in data architecture and distributed data systems design.

Strong exposure to CI/CD pipelines (Git, Jenkins, GitHub Actions, Azure DevOps).

Experience working with cloud platforms (AWS).

Preferred Skills

Experience with orchestration tools like Apache Airflow or similar.

Exposure to data lake / lakehouse architectures.

Experience with data visualization tools (Tableau, Power BI).

Prior experience in pharmaceutical / healthcare domain (clinical, R&D, or commercial data).

Leadership & Soft Skills

Strong stakeholder management and communication skills across business and technical teams.

Ability to drive architecture decisions and influence enterprise data strategy.

Experience working in Agile/Scrum environments

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Position Details

• Job Title: Data Engineer/ Architect Consultant
• Company / Organisation: Market Cloud
• Location: Eschborn
• Employment Type: Full-time
• Field / Industry: Data Science & Analytics
• Work Arrangement: On-site or hybrid - Eschborn

About This Opportunity

This full-time opportunity at Market Cloud is an excellent opening for experienced professionals in the field of data science and analytics. The role is structured around an on-site or hybrid environment based in Eschborn and is designed for candidates who are ready to make a meaningful contribution from the moment they join.

Based in Eschborn, this role offers the opportunity to collaborate closely with a local team in a structured professional environment. Candidates currently based in the area or open to relocation are strongly encouraged to apply.

Whether you are an established practitioner in data science and analytics or a highly skilled professional looking for your next challenge, this Data Engineer/ Architect Consultant role offers the platform to apply your expertise in a real-world, results-oriented environment. Market Cloud is looking for a candidate who can hit the ground running and add genuine value to the team.

Who Should Apply

This role is ideal for candidates who have a solid background in data science and analytics and a demonstrable track record of delivering high-quality results. You should possess quantitative reasoning, statistical thinking, and the ability to transform raw data into actionable insights. Experience working with data analysis frameworks, visualisation platforms, and advanced statistical or machine learning tools will be an advantage, though a commitment to continuous learning and professional development is equally valued.

Beyond technical or domain expertise, Market Cloud is looking for someone who communicates clearly, collaborates effectively with colleagues and stakeholders, and takes ownership of their work from start to finish. If you thrive in a professional environment and are passionate about the opportunity to turn complex datasets into strategic insights that drive smarter business decisions, we encourage you to apply.

Key Competencies for This Role

Successful candidates for the Data Engineer/ Architect Consultant position at Market Cloud will typically demonstrate the following core competencies:

• Domain expertise - a strong foundation of knowledge and hands-on experience in data science and analytics
• Problem-solving ability - the capacity to identify challenges, think critically, and implement practical solutions efficiently
• Communication skills - clear and professional communication with colleagues, stakeholders, and partners at all levels
• Self-management - strong time management and the ability to prioritise a varied workload while meeting deadlines
• Team collaboration - a collaborative and supportive approach to working alongside colleagues across departments or locations
• Adaptability - the ability to respond positively to change and thrive in a dynamic, evolving work environment

How to Apply

To apply for this Data Engineer/ Architect Consultant position at Market Cloud, click the "Apply Now" button on this page. You will be taken directly to the official application page where you can complete and submit your application.

Before applying, please ensure that your CV or résumé is fully up to date and clearly highlights your experience and accomplishments in data science and analytics. If a cover letter is included or requested, tailor it specifically to this role and explain how your background, skills, and goals align with what Market Cloud is looking for in a Data Engineer/ Architect Consultant.

All applications for this role are processed directly by Market Cloud. Career Nest facilitates the job discovery process and does not pre-screen or forward applications on behalf of employers. There are no fees for job seekers at any stage of the application process.

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