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- Tasks: Design and implement data solutions using cloud technologies like Azure, AWS, and GCP.
- Company: Join a leading social network focused on innovative data analytics solutions.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data analytics with cutting-edge technology.
- Qualifications: 5+ years in data architecture with expertise in cloud platforms and big data processing.
- Other info: Must have experience with at least two hyperscalers and strong consulting skills.
The predicted salary is between 54000 - 84000 £ per year.
Location: Telford, United Kingdom
Job Category: Other - EU work permit required: Yes
Responsibilities:
- 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies.
- Implementation experience and hands-on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks.
- Must have hands-on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).
- In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc.
- Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response.
- Ability to be a SPOC for all technical discussions across industry groups.
- Excellent design experience, with entrepreneurship skills to own and lead solutions for clients.
- Ability to define the monitoring, alerting, deployment strategies for various services.
- Experience providing solution for resiliency, failover, monitoring etc.
- Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools.
- Design and implement effective database solutions and models to store and retrieve data.
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Ability to articulate and write POVs on new and old technologies.
- Ability to recommend solutions to improve new and existing database systems.
- Assess data implementation procedures to ensure they comply with internal and external regulations.
- Install and organize information systems to guarantee functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
- Oversee the migration of data from legacy systems to new solutions.
- Educate staff members through training and individual support.
- Offer support by responding to system problems in a timely manner.
Requirements:
- Strong knowledge of database structure systems and data mining.
- Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques.
- Proficiency in data modeling and design, including SQL development and database administration.
- Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
- Excellent organizational and analytical abilities.
- Good written and verbal communication skills.
- A minimum of 5 years’ experience in a similar role.
- Ability to lead and mentor the architects.
Mandatory Skills:
- At least 2 Hyperscalers: GCP, AWS, Azure.
- Big data, Apache Spark, Beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF.
- Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools.
Solutions Architect (Data Analytics) employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (Data Analytics)
✨Tip Number 1
Network with professionals in the data analytics field, especially those who have experience with the specific cloud technologies mentioned in the job description. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Familiarise yourself with the latest trends and tools in data analytics and cloud technologies. Being well-versed in platforms like GCP, AWS, and Azure will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully implemented data solutions. Be ready to articulate your thought process and the impact of your work, as this will showcase your problem-solving skills and technical expertise during interviews.
✨Tip Number 4
Consider obtaining relevant certifications in cloud technologies or data analytics. Certifications can enhance your credibility and show potential employers that you have the necessary skills and knowledge to excel in the Solutions Architect role.
We think you need these skills to ace Solutions Architect (Data Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the required technologies, such as GCP, AWS, Azure, and Big Data processing services. Use specific examples to demonstrate your hands-on experience and consulting skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the responsibilities listed. Mention your experience in designing solutions and leading technical discussions.
Highlight Relevant Projects: In your application, include details about specific projects where you implemented cloud technologies or data analytics solutions. This will help illustrate your expertise and problem-solving abilities.
Showcase Communication Skills: Since excellent communication is key for this role, ensure your application reflects your ability to articulate complex ideas clearly. Use concise language and structure your application logically.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with cloud technologies like Azure, AWS, or GCP. Highlight specific projects where you implemented Big Data processing services and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to design and build solutions. Use examples from your past work to illustrate how you approached complex problems, particularly in data migration or system architecture.
✨Communicate Clearly and Effectively
Since the role requires excellent consulting skills, practice articulating your thoughts clearly. Be concise when explaining technical concepts, and ensure you can translate complex ideas into layman's terms for non-technical stakeholders.
✨Prepare for Leadership Questions
As the role involves mentoring other architects, be ready to discuss your leadership style and experiences. Share examples of how you've guided teams through projects, resolved conflicts, or fostered a collaborative environment.
