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For Companies At a Glance
- Tasks: Design and implement data solutions, lead technical discussions, and support clients with innovative strategies.
- Company: Join a forward-thinking tech company focused on data analytics and cloud solutions.
- Benefits: Enjoy flexible working with 3 days onsite, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values creativity and innovation in the tech space.
- Qualifications: 5+ years in data architecture, strong knowledge of cloud technologies, and excellent communication skills.
- Other info: Opportunity to mentor junior architects and work with cutting-edge technologies.
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.
- 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 modelling 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) employer: Vallum
Contact Detail:
Vallum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (Data Analytics)
✨Tip Number 1
Make sure to showcase your hands-on experience with cloud technologies like Azure, AWS, or GCP during networking events. Engaging in conversations about specific projects you've worked on can help you stand out and demonstrate your expertise.
✨Tip Number 2
Join relevant online forums or groups focused on data analytics and cloud solutions. Participating in discussions can help you connect with industry professionals and may lead to referrals for the Solutions Architect position.
✨Tip Number 3
Consider attending workshops or webinars that focus on the latest trends in big data processing and cloud technologies. This not only enhances your knowledge but also provides opportunities to network with potential employers.
✨Tip Number 4
If you have experience with tools like Jenkins or Terraform, be prepared to discuss how you've used them in past projects. Highlighting your practical knowledge can make a strong impression during interviews.
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 cloud technologies, especially Azure, AWS, and GCP. Emphasise your hands-on experience with Big Data processing services and any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, address how your skills align with the responsibilities of the Solutions Architect role. Mention specific technologies you’ve worked with and how they relate to the job description, particularly in RFP creation and consulting.
Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your analytical abilities and problem-solving skills. Highlight situations where you successfully designed solutions or improved existing systems.
Highlight Communication Skills: Since excellent communication is crucial for this role, include instances where you effectively communicated complex technical concepts to non-technical stakeholders or led discussions in a team setting.
How to prepare for a job interview at Vallum
✨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 RFPs.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to design and implement solutions. Think about how you would approach various situations, such as migrating data from legacy systems or defining monitoring strategies for services.
