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For Companies At a Glance
- Tasks: Lead the design and implementation of data solutions using cloud technologies.
- Company: Join a forward-thinking tech company focused on innovative data analytics solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data technology, making impactful contributions in a collaborative environment.
- Qualifications: 5+ years in data architecture with expertise in cloud platforms like AWS, Azure, or GCP.
- Other info: Opportunity to mentor and lead teams while working on cutting-edge projects.
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.
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) employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (Data Analytics)
✨Tip Number 1
Network with professionals in the data analytics and cloud technology sectors. Attend industry meetups, webinars, or conferences where you can connect with current Solutions Architects or hiring managers. This can give you insights into what they look for in candidates and may even lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with the required cloud technologies by working on personal or open-source projects. This not only enhances your skills but also provides concrete examples to discuss during interviews, demonstrating your practical knowledge of tools like GCP, AWS, or Azure.
✨Tip Number 3
Prepare to discuss specific case studies or scenarios where you've successfully implemented data solutions. Highlight your problem-solving abilities and how you’ve used technologies like Apache Spark or BigQuery to overcome challenges, as this will resonate well with interviewers.
✨Tip Number 4
Familiarise yourself with the latest trends and advancements in data analytics and cloud technologies. Being able to articulate your understanding of emerging tools and methodologies will demonstrate your commitment to continuous learning and innovation, which is crucial for a Solutions Architect role.
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 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 any relevant projects where you acted as a single point of contact for technical discussions.
Showcase Your Technical Skills: Clearly outline your proficiency in database systems, ETL skills, and data modelling. Include any experience with tools like Jenkins, Terraform, or other DevOps technologies that are mentioned in the job description.
Prepare for Technical Questions: Anticipate questions related to your experience with data migration, monitoring strategies, and database architecture. Be ready to discuss how you've solved problems in past roles and your approach to educating team members.
How to prepare for a job interview at Vallum Associates
✨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 implemented Big Data processing services and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Expect to encounter scenario-based questions that assess your problem-solving abilities. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing how you approached complex data challenges and the solutions you devised.
✨Communicate Clearly and Effectively
Since excellent communication skills are a must for this role, practice articulating your thoughts clearly. Be concise but thorough in your explanations, especially when discussing technical concepts or your previous experiences in consulting and solution design.
✨Prepare for Leadership Questions
As the role involves leading and mentoring architects, be ready to discuss your leadership style and experiences. Think of examples where you successfully guided a team or influenced stakeholders, and be prepared to share how you foster collaboration and innovation.
