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- Tasks: Design and implement data solutions while leading technical discussions and RFP responses.
- Company: Join a dynamic team focused on innovative data analytics solutions in a collaborative environment.
- Benefits: Enjoy flexible working with 3 days onsite, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge field, shaping data strategies that impact businesses globally.
- Qualifications: 5+ years in data architecture with expertise in cloud technologies like AWS, Azure, or GCP.
- Other info: Ideal for tech-savvy individuals eager to lead and mentor in a fast-paced setting.
The predicted salary is between 72000 - 108000 £ 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.
- 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.
- 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)- Presales, RFP creation 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)- Presales, RFP creation
✨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
Brush up on your knowledge of data processing services like Apache Spark and BigQuery. Being able to discuss these technologies in detail will show that you are well-prepared and knowledgeable about the tools you'll be using in the role.
✨Tip Number 3
Prepare to showcase your consulting experience by thinking of examples where you've designed and built solutions for clients. This will help you articulate your value during technical discussions and RFP responses.
✨Tip Number 4
Network with professionals in the field of data analytics and solutions architecture. Engaging with industry groups can provide insights into current trends and challenges, which you can leverage in your conversations with us at StudySmarter.
We think you need these skills to ace Solutions Architect (Data Analytics)- Presales, RFP creation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analytics, cloud technologies, and any relevant projects. Emphasise your hands-on experience with GCP, AWS, or Azure, as well as your consulting skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Solutions Architect role. Mention specific technologies you have worked with and how they relate to the job description. Show enthusiasm for the company and the position.
Showcase Relevant Projects: Include examples of past projects where you designed and implemented database solutions or led technical discussions. This will demonstrate your ability to handle the responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Solutions Architect.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with cloud technologies like Azure, AWS, or GCP. Highlight specific projects where you've implemented Big Data solutions and be ready to explain the tools and services you used.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to design and build solutions. Use examples from your past experiences to illustrate how you approached challenges and what solutions you proposed.
✨Communicate Clearly and Effectively
Since this role involves consulting and technical discussions, practice articulating complex ideas in a simple manner. Good communication skills are essential, so ensure you can explain your thought process clearly.
✨Prepare for RFP Discussions
Familiarise yourself with the Request for Proposal (RFP) process. Be ready to discuss how you would contribute to RFP responses and provide insights on how to tailor solutions to meet client needs.
