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- Tasks: Design and implement data solutions while leading technical discussions and RfP responses.
- Company: Join a dynamic team in London, focused on innovative data analytics solutions.
- Benefits: Enjoy flexible working with 3 days onsite, plus opportunities for professional growth.
- Why this job: Be part of a cutting-edge field, making impactful contributions to data-driven projects.
- Qualifications: 5+ years in data analytics with expertise in cloud technologies like AWS, Azure, or GCP.
- Other info: Ideal for tech-savvy individuals eager to lead and mentor in a collaborative environment.
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
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 demonstrate your capability during interviews.
✨Tip Number 2
Engage with online communities or forums related to data analytics and cloud technologies. Networking with professionals in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous projects that involved designing and implementing database solutions. Be ready to articulate your thought process and the impact of your solutions on business outcomes, as this will showcase your consulting experience.
✨Tip Number 4
Brush up on your communication skills, especially in technical discussions. Being able to clearly explain complex concepts to non-technical stakeholders is crucial for a Solutions Architect, so practice articulating your ideas succinctly.
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 and big data processing services. Use specific examples to demonstrate your hands-on experience with GCP, AWS, or Azure.
Craft a Compelling Cover Letter: In your cover letter, emphasise your consulting experience and ability to design solutions. Mention your familiarity with RFP creation and how you can contribute to the company's goals.
Showcase Relevant Projects: Include details of relevant projects in your application that showcase your ETL skills, data modelling abilities, and experience with database solutions. Highlight any leadership roles you've taken on.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail. Prepare to articulate your knowledge of database structures, data mining, and the technologies mentioned in the job description during potential interviews.
How to prepare for a job interview at Golden Bees
✨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, as this will demonstrate your capability to handle the technical demands of the role.
✨Prepare for RFP Discussions
Since the role involves RFP creation, practice articulating how you would approach responding to an RFP. Think about how you can effectively design solutions that meet client needs and be ready to share examples from your past experiences.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your analytical abilities and problem-solving skills. Prepare to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data management and database systems.
✨Communicate Clearly and Confidently
Excellent communication is key for this position. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. This will show your ability to be a SPOC for technical discussions.
