At a Glance
- Tasks: Lead the design and delivery of data architecture solutions for clients.
- Company: GlobalLogic is a trusted digital engineering partner, transforming industries through innovative products.
- Benefits: Enjoy a culture of caring, continuous learning, and flexible work-life balance.
- Why this job: Work on impactful projects that challenge your creativity and problem-solving skills.
- Qualifications: Experience in cloud architecture, big data frameworks, and database development required.
- Other info: Join a high-trust organisation committed to integrity and ethical practices.
The predicted salary is between 72000 - 100000 £ per year.
As a Data Solutions Architect you’ll work closely with key stakeholders to map out their data/insights requirements and develop roadmaps and design architecture which you’ll communicate effectively to the project teams, implementation teams and end-users – leading top quality solutions design and delivery.
Requirements:
- Strong experience as a Cloud data architect
- Skilled in one or more of the following architectural frameworks (TOGAF, ZACHMAN, FEAF)
- Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture
- Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc.
- Deep technical knowledge of database development, design and migration
- Experience of deployment in cloud using Terraform or CloudFormation
- Automation or Scripting experience using languages such as python & bash etc.
- ETL and workflow management knowledge
- Experience of Agile methodologies
- Experience in the Financial Services Sector
- Data Engineering or Data Science experience
Job responsibilities:
- Interface with client project sponsors to gather, assess and interpret client needs and requirements.
- Define architecture vision, roadmaps and strategy while engaging relevant stakeholders to execute.
- Work across other architectural domains including business architecture, technical architecture and application architecture.
- Able to advise on complex migrations and define opportunities and risks as well as transition phases to achieve target states successfully.
- Familiar with common architectural patterns and able to define and customise them for different use cases.
- Develop data models and Data Lake designs around stated use cases to capture KPIs and data transformations.
- Identify relevant AWS services – on Amazon EMR, Redshift, Athena, Glue, Lambda, to design an architecture that can support client workloads/use-cases; evaluate pros/cons among the identified options to arrive at a recommended solution optimal for the client’s needs.
- Work closely with the client and broader delivery team to implement in Agile fashion the architecture and chosen AWS services using AWS Best Practices and principles from the AWS Well-Architected Framework.
- Assess, document and translate goals, objectives, problem statements, etc. to offshore/onshore management teams.
- Advise on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and deriving business and technical KPIs.
- Guide the transition of solutions into the hands of the client, providing documentation to operate and maintain the solution.
- Design data pipelines to support machine-learning solutions.
About you (ideally):
- Strong hands-on approach – architect, code and facilitate full-scale development.
- Able to explain pro/cons of various AWS options, to justify why the recommended solution(s) and architecture was chosen as an optimal one for the job.
- Able to optimize performance and monitoring of hybrid on-premise and cloud data solutions.
- Working with a variety of enterprise level organisations to understand and analyse existing on-prem environments such as Oracle, Teradata & Hadoop etc., and be able to design and plan migrations to AWS or GCP.
- Deep understanding of high and low level designs and architecture solutions.
- Developing database scripts to migrate from current to cloud based databases.
- Developing optimization plan and automated solutions for post migration environments.
- Certified in AWS Pro Solutions Architect /Snowflake SnowPro, and/or GCP Pro Cert.
What we offer:
- Culture of caring: At GlobalLogic, we prioritise a culture of caring. Across every region and department, at every level, we consistently put people first.
- Learning and development: We are committed to your continuous learning and development.
- Interesting & meaningful work: GlobalLogic is known for engineering impact for and with clients around the world.
- Balance and flexibility: We believe in the importance of balance and flexibility.
- High-trust organization: We are a high-trust organization where integrity is key.
About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies.
Senior Data Architect IRC265727 employer: GlobalLogic
Contact Detail:
GlobalLogic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect IRC265727
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, particularly AWS and GCP. Understanding their services and how they relate to data architecture will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your knowledge of architectural frameworks like TOGAF and ZACHMAN. Being able to discuss these frameworks and how they apply to data solutions will demonstrate your expertise and strategic thinking.
✨Tip Number 3
Prepare to discuss your experience with big data frameworks such as Hadoop and Cloudera. Be ready to share specific examples of how you've implemented these technologies in past projects, as this will showcase your hands-on experience.
✨Tip Number 4
Since the role involves working closely with stakeholders, practice articulating complex technical concepts in simple terms. This skill is crucial for effective communication and will help you stand out as a candidate who can bridge the gap between technical and non-technical teams.
We think you need these skills to ace Senior Data Architect IRC265727
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Cloud Data Architect. Focus on your skills with architectural frameworks like TOGAF or ZACHMAN, and detail your cloud experience, particularly with AWS or GCP.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for the Senior Data Architect role. Mention specific projects where you've successfully designed data architectures or led migrations to the cloud.
Showcase Technical Skills: Clearly outline your technical knowledge in big data frameworks, database development, and ETL processes. Use specific examples to demonstrate your expertise in automation and scripting languages like Python or Bash.
Highlight Agile Experience: Since Agile methodologies are important for this role, include any relevant experience you have working in Agile environments. Describe how you've collaborated with teams to deliver high-quality solutions.
How to prepare for a job interview at GlobalLogic
✨Understand the Role Requirements
Before the interview, make sure you thoroughly understand the job description and requirements. Familiarise yourself with key terms like 'Cloud data architect', 'big data frameworks', and specific tools mentioned such as AWS or GCP. This will help you tailor your responses to demonstrate your relevant experience.
✨Prepare for Technical Questions
Given the technical nature of the Senior Data Architect role, be ready to answer questions about architectural frameworks like TOGAF or ZACHMAN, and discuss your experience with cloud migrations. Brush up on your knowledge of database development and ETL processes, as these are likely to come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss past projects where you faced challenges in data architecture or migration. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you identified problems, developed solutions, and achieved successful outcomes.
✨Demonstrate Your Communication Skills
As a Data Solutions Architect, you'll need to communicate effectively with various stakeholders. During the interview, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between technical teams and non-technical stakeholders, which is crucial for the role.