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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 Big Data and cloud platforms required.
- Other info: Must have experience with at least two hyperscalers and strong consulting skills.
The predicted salary is between 43200 - 72000 £ per year.
Location: Leeds, West Yorkshire, 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 solutions 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
Familiarise yourself with the specific cloud technologies mentioned in the job description, such as Azure, AWS, and GCP. Having hands-on experience with these platforms will not only boost your confidence but also demonstrate your capability to potential employers.
✨Tip Number 2
Engage with online communities or forums related to data analytics and solutions architecture. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for job openings.
✨Tip Number 3
Consider creating a portfolio showcasing your previous projects that involved big data processing and cloud technologies. This tangible evidence of your skills can set you apart from other candidates during interviews.
✨Tip Number 4
Prepare for technical discussions by brushing up on key technologies listed in the job description, such as Apache Spark and Kafka. Being able to articulate your knowledge and experience with these tools will be crucial during interviews.
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 Azure, AWS, GCP, 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, as well as your ability to mentor others.
Highlight Relevant Projects: In your application, include details about specific projects where you implemented data solutions or worked with cloud technologies. This will help illustrate your expertise and problem-solving abilities.
Showcase Communication Skills: Since good written and verbal communication skills are essential for this role, ensure your application is clear, concise, and free of errors. Consider including examples of how you've effectively communicated complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with cloud technologies like Azure, AWS, or GCP. Be prepared to discuss specific projects where you implemented Big Data solutions and how you utilised tools such as Apache Spark or Databricks.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Discuss your approach to designing resilient systems and how you ensured compliance with regulations during data migrations.
✨Communicate Clearly
Since the role requires excellent communication skills, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, especially when discussing your design strategies.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to lead technical discussions and mentor others. Think about past experiences where you acted as a single point of contact for technical issues and how you guided your team through challenges.
