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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 working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data analytics with cutting-edge technology.
- Qualifications: 5+ years in data architecture with expertise in cloud platforms and big data processing.
- Other info: Opportunity to mentor and lead a team while working on impactful projects.
The predicted salary is between 48000 - 84000 £ 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
Make sure to showcase your hands-on experience with at least two cloud technologies, especially GCP, AWS, or Azure. Highlight specific projects where you've implemented Big Data processing services like Apache Spark or Beam, as this will demonstrate your practical knowledge.
✨Tip Number 2
Familiarise yourself with the latest trends and tools in data analytics and cloud technologies. Being able to discuss recent advancements or case studies during interviews can set you apart and show your passion for the field.
✨Tip Number 3
Prepare to articulate your experience in designing and building solutions. Be ready to discuss how you've contributed to RfP responses or led technical discussions, as this will highlight your consulting skills and ability to communicate effectively.
✨Tip Number 4
Network with professionals in the industry, especially those who work with the technologies mentioned in the job description. Engaging in relevant forums or attending meetups can provide insights and potentially lead to referrals, increasing your chances of landing the job.
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 Technical Skills: Clearly outline your technical skills related to database structures, ETL processes, and data modelling. Include any experience with tools like Jenkins, Terraform, or Databricks, as these are desirable.
Highlight Leadership Experience: If you have experience leading teams or mentoring architects, make sure to include this in your application. Companies value candidates who can guide others and take ownership of solutions.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with the required cloud technologies and big data processing services. Be prepared to discuss specific projects where you implemented solutions using GCP, AWS, or Azure, and how you utilised tools like Apache Spark or Databricks.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Discuss your approach to designing resilient systems and how you ensured compliance with regulations during data migrations or implementations.
✨Communicate Clearly and Effectively
Since excellent communication skills are a must, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, and prepare to discuss how you’ve educated team members in the past.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to design and implement database solutions. Think about how you would approach various situations, such as defining monitoring strategies or recommending improvements to existing systems.
