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- Tasks: Lead teams to design and implement innovative cloud-based data solutions.
- Company: Join a dynamic, remote-first architectural team serving high-profile clients.
- Benefits: Enjoy a flexible work environment with opportunities for professional growth.
- Why this job: Make an impact in a collaborative setting while tackling complex data challenges.
- Qualifications: Proven experience as a Lead Data Solutions Architect with expertise in cloud technologies.
- Other info: Ideal for those passionate about data governance and leading cross-functional teams.
The predicted salary is between 43200 - 72000 £ per year.
Are you an experienced data architect looking to take the lead in delivering cutting-edge cloud-based data solutions? This is an opportunity to join a dynamic, remote-first architectural team, working on innovative data platforms for high-profile clients across multiple industries.
Key Responsibilities:
- Lead cross-functional teams of Data Engineers, Architects, Business Analysts, and QA Analysts.
- Design and implement modern data solutions, leveraging cloud technologies and best-in-class data platforms.
- Drive architectural strategy for data processing, storage, and visualisation in an Agile environment.
- Engage with stakeholders, ensuring technical excellence and alignment with business objectives.
Skills & Experience Required:
- Proven experience as a Lead Data Solutions Architect, delivering complex data solutions.
- Strong background in data streaming and event-driven architectures (Kafka, Confluent).
- Expertise in architecting data lakes/lakehouses with platforms such as Databricks and Unity Catalog.
- Proficiency in cloud-based data architecture (AWS, Azure, GCP, Snowflake).
- Understanding of Data Mesh, Data Fabric, and product-led data strategies.
Technical Knowledge:
- Familiarity with big data technologies (Apache Spark, Hadoop).
- Knowledge of programming languages such as Python, R, or Java.
- Experience with ETL/ELT processes, SQL, NoSQL databases, and DevOps principles.
- Understanding of AI and machine learning integrations within data architectures.
Governance & Leadership:
- Strong grasp of data governance, security, and compliance regulations (GDPR, CCPA, HIPAA).
- Experience leading teams, influencing architectural decisions, and engaging stakeholders.
Summary:
This role is ideal for a seasoned data architect who thrives in a leadership position, enjoys solving complex data challenges, and has a passion for cloud-based solutions. If you’re looking to make an impact in a high-performing, collaborative environment, this could be the next step in your career.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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Data Solutions Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Architect
✨Tip Number 1
Make sure to showcase your experience with cloud technologies like AWS, Azure, or GCP during networking events or discussions. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Participate in online forums or communities focused on data architecture and cloud solutions. Sharing your knowledge and learning from others can enhance your visibility and demonstrate your expertise in areas like data lakes and event-driven architectures.
✨Tip Number 3
Consider contributing to open-source projects related to big data technologies or cloud-based solutions. This not only sharpens your skills but also showcases your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Engage with potential employers on social media platforms like LinkedIn. Follow companies you're interested in, share relevant content, and connect with current employees to learn more about their work culture and job openings.
We think you need these skills to ace Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Solutions Architect. Focus on your leadership roles, cloud technologies you've worked with, and any specific projects that showcase your skills in data streaming and event-driven architectures.
Craft a Compelling Cover Letter: In your cover letter, emphasize your passion for cloud-based solutions and your ability to lead cross-functional teams. Mention specific technologies like Kafka, Databricks, and your understanding of data governance to align with the job requirements.
Showcase Relevant Projects: Include examples of complex data solutions you have delivered in previous roles. Highlight your experience with data lakes, ETL processes, and any innovative strategies you've implemented that align with the company's focus on cutting-edge data platforms.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and stakeholder engagement. These are crucial for a leadership role and will demonstrate your ability to influence architectural decisions and ensure alignment with business objectives.
How to prepare for a job interview at Anson McCade
✨Showcase Your Leadership Experience
Be prepared to discuss your previous roles where you led cross-functional teams. Highlight specific projects where you drove architectural strategy and how you engaged with stakeholders to ensure alignment with business objectives.
✨Demonstrate Technical Expertise
Make sure to articulate your experience with cloud-based data architecture and big data technologies. Be ready to provide examples of how you've implemented solutions using platforms like AWS, Azure, or Databricks, and discuss your familiarity with data streaming architectures like Kafka.
✨Discuss Data Governance Knowledge
Since governance is crucial in this role, be prepared to talk about your understanding of data security and compliance regulations such as GDPR and HIPAA. Share experiences where you ensured data governance in your previous projects.
✨Engage in Problem-Solving Scenarios
Expect to face hypothetical scenarios related to data challenges. Practice articulating your thought process on how you would approach these problems, especially in an Agile environment, showcasing your ability to think critically and strategically.
