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For Companies At a Glance
- Tasks: Lead cloud and data architecture projects, design solutions, and support presales activities.
- Company: Join a leading tech firm focused on innovative cloud and data solutions.
- Benefits: Enjoy competitive salary, career growth opportunities, and a collaborative work environment.
- Why this job: Be part of a dynamic team shaping the future of cloud technology and data architecture.
- Qualifications: 5+ years in a similar role with expertise in cloud technologies and data management.
- Other info: This is a senior-level position based in London, requiring in-office presence five days a week.
The predicted salary is between 72000 - 108000 £ 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.
- Excellent ETL skills, Data Modeling Skills.
- Excellent communication skills.
- 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.
Qualifications:
- 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.
- Outstanding problem solver.
- Good written and verbal communication skills.
- A minimum of 5 years’ experience in a similar role.
- Ability to lead and mentor the architects.
Required Skills:
- 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.
Preferred Skills:
- Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools.
Note: This is a senior-level, in-house opportunity focused on Data Architecture, Cloud technologies, and Presales activities, including contributions to RFPs and RFQs. The role requires working five days a week from Client’s London office. We are seeking candidates with a background in service-based companies and a demonstrated history of long tenures at previous organizations.
Senior Cloud and Data Architect (Pre Sales) employer: Gazelle Global
Contact Detail:
Gazelle Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud and Data Architect (Pre Sales)
✨Tip Number 1
Network with professionals in the cloud and data architecture space. Attend industry meetups, webinars, or conferences where you can connect with others who work with GCP, AWS, or Azure. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with specific technologies mentioned in the job description. If you've worked with Apache Spark, BigQuery, or any of the other tools listed, be prepared to discuss your projects and the impact they had on your previous employers during interviews.
✨Tip Number 3
Prepare to demonstrate your consulting skills. Since this role involves client interaction and solution design, think of examples where you've successfully led discussions or designed solutions that met client needs. This will highlight your ability to be a SPOC for technical discussions.
✨Tip Number 4
Familiarise yourself with the company's culture and values. Research StudySmarter's approach to cloud technologies and data architecture. Tailoring your conversation to align with our mission can make a strong impression during the interview process.
We think you need these skills to ace Senior Cloud and Data Architect (Pre Sales)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud technologies, particularly the required hyperscalers like GCP, AWS, and Azure. Emphasise your hands-on experience with Big Data processing services and any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, showcase your consulting experience and ability to design solutions. Mention specific examples of how you've contributed to RFP responses and your role as a SPOC in technical discussions.
Highlight Relevant Skills: Clearly list your skills related to data modelling, ETL processes, and database design. Include any experience with tools like Jenkins, Terraform, or other DevOps technologies that are preferred for this role.
Showcase Leadership Experience: Since this is a senior-level position, emphasise your leadership and mentoring experience. Provide examples of how you've guided teams or individuals in previous roles, especially in the context of cloud and data architecture.
How to prepare for a job interview at Gazelle Global
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with cloud technologies like Azure, AWS, and GCP. Highlight specific projects where you've implemented Big Data processing services, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Consulting Skills
Since this role involves consulting and designing solutions, practice articulating your thought process in previous projects. Be ready to share examples of how you've contributed to RfP responses and how you’ve acted as a single point of contact for technical discussions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach designing a resilient data architecture or migrating data from legacy systems, and be ready to discuss your strategies in detail.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to educate staff members or present to management. Ensure your answers are structured and concise during the interview.
