Principal Data Architect (5-8 yrs)

As the Principal Data Architecture, you will :

- Design and implement scalable, secure, and efficient data architectures that support the business's analytics and data-driven decision-making needs.

- Develop strategies for integrating data from multiple sources, including cloud platforms (AWS, Azure, Snowflake), databases, and third-party systems.

- Collaborate with data engineers, data scientists, and other technical teams to ensure the data architecture aligns with business requirements and is optimized for performance and cost-efficiency.

- Define and enforce data modelling and architectural best practices, ensuring consistency and scalability.

- Oversee the design and implementation of data governance, security, and compliance frameworks within the data architecture.

- Continuously evaluate emerging technologies and industry trends to recommend new tools or practices that can improve the organization's data infrastructure.

- Provide leadership and technical guidance in data design and architecture, helping to shape the direction of data initiatives across the organization.

- Monitor the performance of data systems and provide recommendations for improvements or optimization.

THE STUFF THAT SETS YOU APART.

Must-Have Experience :

- 5+ years of experience as a Data Architect or in a similar role, designing complex data solutions.

- Strong expertise in data modeling, ETL processes, and data architecture best practices.

- Experience with cloud data platforms (e.g, Snowflake, AWS, Azure) and familiarity with data warehousing and data lakes.

- Proven ability to design and implement secure and scalable data pipelines, integrations, and storage solutions.

- Experience working with data governance, security, and compliance requirements (e.g, GDPR, CCPA).

Technical Skills :

- Deep understanding of relational and non-relational databases (SQL, NoSQL), data lakes, and data warehouses.

- Expertise in data integration technologies, data pipelines, and tools (e.g, Apache Kafka, Spark, Talend, Informatica).

- Proficiency in data modeling techniques (both logical and physical) and best practices.

- Familiarity with DevOps practices for data infrastructure, including CI/CD for data pipelines.

- Understanding of data governance tools (e.g, Atlan, Collibra, Alation) and how to embed these into the architecture.

Soft Skills :

- Strong problem-solving skills, with the ability to think strategically about the long-term architecture and operational needs.

- Excellent communication and collaboration skills to work effectively with both technical teams and business stakeholders.

- Leadership skills to mentor and guide team members in implementing architecture best practices.

- Ability to manage multiple priorities and deliver complex projects on time.

Education :

- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

- Advanced certifications in cloud platforms, data architecture, or related fields (e.g, AWS Certified Solutions Architect, Snowflake Architect Certification) are a plus.

Nice to Have :

- Experience in the retail or fashion industry, with insight into its data challenges.

- Familiarity with emerging technologies such as AI/ML, real-time data processing, or edge computing.

- Previous experience in a senior data engineering or data science role, with an understanding of both the architecture and data use cases.

We live and breathe Rebellious Self Expression at Dr.Martens, and there are 3 core values at the heart of it.

They never stand alone, but work together as a balancing act of rights and responsibilities to support how we work together at DMs.

BE YOURSELF.

ACT COURAGEOUSLY.

SHOW YOU CARE.

At DM your technical capability will go hand in hand with the below:.

Great relationship management that delivers results through effective teamwork.

You'll be a proud custodian to our DM's culture, embodying what we stand for and encouraging others to do the same.

You'll help build a highly engaged team - ensuring a collaborative culture and providing guidance & support to other team members.

You will take ownership for your own development, proactively seeking out feedback to build self-awareness.

You will bring the outside-in; you'll share best practice across the team/business and encourage ideas sharing as well as collaborative problem solving.

You'll lead the way and role model on all things DE&I & wellbeing.