Data Architect (Trading)

Keyrock; Germany (OH); Remote; USD 100,000 - 140,000; Full time

Job summary

A growing tech firm is seeking a Data Architect responsible for designing and implementing data architecture, supporting MLOps, and ensuring data security. The ideal candidate has extensive experience in data architecture, strong SQL skills, and familiarity with big data platforms. This position offers a competitive salary, flexibility in work hours, and the opportunity to work remotely.

Benefits

Competitive salary package

Flexible working hours

Opportunity for remote work

Qualifications

• Extensive experience in data architecture design and implementation.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modeling, and data integration.

Responsibilities

• Design and implement a scalable data architecture.
• Develop data pipelines for ETL processes.
• Build and maintain data warehouses and lakes.

Skills

Data architecture design

Data engineering

Data warehousing

MLOps

SQL

Big data platforms

Education

Bachelor's or Master's in Computer Science or related field

Tools

Apache Spark

AWS

Job description

Data Architect

Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

• Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.

• Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.

• Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.

• Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.

• Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.

• Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.

• Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.

• Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.

• Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.

• Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

• Extensive experience in data architecture design and implementation.

• Strong knowledge of data engineering principles and practices.

• Expertise in data warehousing, data modelling, and data integration.

• Experience in MLOps and machine learning pipelines.

• Proficiency in SQL and data manipulation languages.

• Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.

Education & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• Preferred certifications (optional):

  • AWS Cloud Data Engineer

  • AWS Machine Learning Ops Engineer

Leadership & Collaboration

• Passion for building scalable, reliable, and secure systems in a fast-paced environment.

• Ability to translate complex technical concepts into clear, actionable insights for technical teams.

• Strong interpersonal skills with the ability to work effectively across cross-functional teams.

• Excellent problem-solving and analytical skills.

Our recruitment philosophy

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We’re after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

Our offer

• A competitive salary package, with various benefits depending on method of engagement (Employee vs Contractor)

• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely

• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

https://keyrock.com/careers/