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, with hands-on experience in major platforms.
- Other info: Ideal for experienced professionals looking to shape the future of data solutions.
The predicted salary is between 72000 - 108000 Β£ per year.
Work Location: London
Experience: 15+ Years
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 β 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 yearsβ 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.
Senior Cloud and Data Solution Architect employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Cloud and Data Solution Architect
β¨Tip Number 1
Network with professionals in the cloud and data architecture 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 lead to job referrals.
β¨Tip Number 2
Showcase your hands-on experience with the required technologies by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of cloud platforms and big data processing services. Be ready to discuss specific scenarios where you've successfully implemented solutions using these technologies.
β¨Tip Number 4
Research Coforge and understand their projects and values. Tailor your discussions to align with their goals and demonstrate how your experience can contribute to their success. This shows genuine interest and can set you apart from other candidates.
We think you need these skills to ace Senior Cloud and Data Solution Architect
Some tips for your application π«‘
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 AWS, Azure, or GCP, and showcase relevant projects that demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements listed in the job description. Mention your consulting experience, ability to design solutions, and any leadership roles you've held. This is your chance to show how you can contribute to the company.
Showcase Relevant Projects: Include specific examples of projects where you've implemented cloud-based solutions or worked with big data technologies. Detail your role, the challenges faced, and the outcomes achieved to illustrate your problem-solving skills.
Highlight Communication Skills: Since excellent communication skills are essential for this role, provide examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. This could be through presentations, reports, or team collaborations.
How to prepare for a job interview at Coforge
β¨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 any relevant tools like Apache Spark or Databricks.
β¨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.
β¨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, especially when discussing your design and architecture reports.
β¨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to lead technical discussions and provide solutions. Think about how you would handle specific client needs or project requirements, and be ready to share your thought process.