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For Companies At a Glance
- 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 work 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.
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 in relevant online communities or forums focused on 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 related to data analytics and solutions architecture. Highlighting your practical experience with tools like Apache Spark and Databricks can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common scenario-based questions that focus on designing and implementing database solutions. Being able to articulate your thought process clearly will impress interviewers and show your problem-solving skills.
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, especially your hands-on experience with at least two hyperscalers like GCP, AWS, or Azure. Emphasise your expertise in Big Data processing services and any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analytics and how your background aligns with the responsibilities of the Solutions Architect role. Mention specific examples of your consulting experience and your ability to design and build solutions.
Showcase Relevant Projects: Include a section in your application that details specific projects where you implemented cloud technologies or designed database solutions. Highlight your role, the challenges faced, and the outcomes achieved to demonstrate your problem-solving skills.
Prepare for Technical Questions: Anticipate technical questions related to database structures, data mining, and the technologies mentioned in the job description. Be ready to discuss your experience with tools like Jenkins, Terraform, and your approach to monitoring and deployment strategies.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with the required cloud technologies like Azure, AWS, or GCP. Be prepared to discuss specific projects where you implemented Big Data processing services and how you tackled challenges.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've designed solutions for clients, particularly in terms of resiliency and monitoring. Discuss your approach to identifying database structural necessities and how you ensured compliance with regulations.
✨Communicate Clearly and Effectively
Since excellent communication skills are essential, practice articulating your thoughts on complex technical topics. Be ready to explain your design choices and how they benefit the client, as well as your ability to mentor others.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to lead technical discussions and provide solutions. Think about past experiences where you acted as a single point of contact for technical issues and how you managed those situations.
