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For Companies At a Glance
- Tasks: Lead data analytics solutions and create impactful RFPs in a dynamic team.
- Company: Join a forward-thinking tech company based in London, focused on innovative cloud solutions.
- Benefits: Enjoy flexible working with 3 days onsite, competitive salary, and growth opportunities.
- Why this job: Be part of a collaborative culture that values creativity and technical expertise.
- Qualifications: 5+ years in data analytics with hands-on experience in cloud technologies like AWS or Azure.
- Other info: Opportunity to mentor and lead projects while working with cutting-edge technologies.
The predicted salary is between 54000 - 84000 £ per year.
Location: London (3 days/week onsite)
Duration: Permanent
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
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
- 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
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
Desirable Skills:
- Designing Databricks based solutions for Azure/AWS
- Jenkins, Terraform, StackDriver or any other DevOps tools
Solutions Architect (Data Analytics)- Presales, RFP creation (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (Data Analytics)- Presales, RFP creation (Basé à London)
✨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 allow you to speak knowledgeably during interviews.
✨Tip Number 2
Brush up on your ETL and data modelling skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data processing to showcase your abilities.
✨Tip Number 3
Prepare to discuss your consulting experience and how you've designed solutions in previous roles. Be ready to provide examples of how you've contributed to RFP responses, as this is a key responsibility of the position.
✨Tip Number 4
Network with professionals in the field, especially those who work with the technologies listed in the job description. Engaging in relevant online communities or attending industry events can help you gain insights and potentially get referrals.
We think you need these skills to ace Solutions Architect (Data Analytics)- Presales, RFP creation (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the required cloud technologies, especially 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, clearly articulate your consulting experience and how it aligns with the responsibilities of the Solutions Architect role. Mention specific examples of RFP responses you’ve contributed to and solutions you’ve designed.
Showcase Technical Skills: Detail your technical skills in data modelling, ETL processes, and database design. Highlight your proficiency in tools like Apache Spark, Kafka, and any DevOps tools you are familiar with, such as Jenkins or Terraform.
Prepare for Technical Questions: Anticipate technical questions related to database structures, data mining, and cloud technologies during the interview process. Be ready to discuss your problem-solving approach and provide examples of how you've implemented solutions in past roles.
How to prepare for a job interview at Golden Bees
✨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 processing services and how you tackled challenges.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've solved complex problems in previous roles. This could include designing resilient solutions or optimising database systems. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly and Effectively
Since excellent communication skills are a must for this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, especially during discussions about RFP responses.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to design and implement effective database solutions. Think through potential scenarios related to data migration, monitoring strategies, and compliance with regulations, and be ready to share your thought process.
