Cloud Data Solution Architect
Cloud Data Solution Architect

Cloud Data Solution Architect

London Full-Time 72000 - 108000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead cloud and data solutions, design effective database systems, and mentor teams.
  • Company: Coforge is a dynamic tech company focused on innovative cloud and data solutions.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Why this job: Join a forward-thinking team, work with cutting-edge technologies, and make a real impact.
  • Qualifications: 15+ years in data analytics and cloud technologies; expertise in major platforms required.
  • Other info: Based in London, this role offers a chance to shape the future of data solutions.

The predicted salary is between 72000 - 108000 Β£ per year.

We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions background in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside the ability to deliver cloud-based enterprise platforms and data consulting skills.

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

Cloud Data Solution Architect employer: Coforge

Coforge is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and development opportunities, ensuring our team members are at the forefront of next-gen data technologies. Our inclusive culture fosters creativity and encourages employees to take ownership of their projects, making it a truly rewarding place to advance your career in cloud and data solutions.
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Contact Detail:

Coforge Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Cloud Data Solution Architect

✨Tip Number 1

Network with professionals in the cloud and data analytics space. Attend industry meetups, webinars, or conferences where you can connect with potential colleagues or employers. This can help you gain insights into the latest trends and possibly get referrals.

✨Tip Number 2

Showcase your hands-on experience with the required cloud technologies. If you've worked on projects involving AWS, GCP, or Azure, be prepared to discuss specific challenges you faced and how you overcame them during interviews.

✨Tip Number 3

Prepare to demonstrate your consulting skills. Be ready to discuss how you've designed solutions for clients in the past, including any RfP responses you've contributed to. This will highlight your ability to communicate effectively and lead technical discussions.

✨Tip Number 4

Stay updated on the latest developments in data technologies and cloud platforms. Being knowledgeable about new tools and methodologies can set you apart from other candidates and show your commitment to continuous learning.

We think you need these skills to ace Cloud Data Solution Architect

Cloud Technologies Expertise
Data Analytics Solutions Design
Hands-on Experience with Hyperscalers (GCP, AWS, Azure)
Big Data Processing Services (Apache Spark, Beam)
Data Modelling Skills
ETL Skills
Database Design and Architecture
SQL Development
Data Mining Knowledge
Project Management Approaches
Excellent Communication Skills
Consulting Experience
Ability to Lead Technical Discussions
Resiliency and Failover Solutions
Monitoring and Alerting Strategies
DevOps Tools Knowledge (Jenkins, Terraform)
Training and Mentoring Skills
Problem-Solving Skills
Organisational Skills
Ability to Articulate Technology POVs

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with cloud technologies and data analytics. Emphasise your hands-on experience with at least two hyperscalers like GCP, AWS, or Azure, and detail your relevant projects.

Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Senior Cloud and Data Solution Architect role. Mention specific technologies you have worked with, such as Apache Spark or Databricks, and how your skills align with the job requirements.

Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities. Discuss how you've tackled challenges in previous roles, particularly in designing and implementing cloud-based solutions.

Highlight Communication Skills: Since excellent communication is crucial for this role, include instances where you've effectively communicated complex technical concepts to non-technical stakeholders or led discussions in a consulting capacity.

How to prepare for a job interview at Coforge

✨Showcase Your Technical Expertise

Make sure to highlight your hands-on experience with cloud technologies like AWS, Azure, and GCP. Be prepared to discuss specific projects where you implemented data solutions using these platforms, as well as your familiarity with tools like Apache Spark and Databricks.

✨Demonstrate Problem-Solving Skills

Prepare to share examples of how you've tackled complex data challenges in previous roles. Discuss your approach to designing resilient systems and how you've ensured compliance with regulations during data migrations.

✨Communicate Clearly and Effectively

Given the importance of communication in this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your ability to be a SPOC for technical discussions.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your consulting experience and solution design capabilities. Think about how you would respond to RfP requests or how you would lead a team in implementing a new data solution for a client.

Cloud Data Solution Architect
Coforge
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