-
ID
#31399348 -
Job type
Permanent -
Salary
TBD -
Source
Global Technical Talent -
Date
2022-01-12 -
Deadline
2022-03-13
Data Architect
Arizona, Phoenix, 85001 Phoenix USAPermanent
Vacancy expired!
Job Description
Data Architect Job Summary- You will be solving deep technical problems and building creative solutions in a dynamic environment leading knowledgeable and passionate SDE's.
- You have experienced building for the cloud - designing for five 9s, globally distributed all-active deployments, horizontal scalability, fault tolerance, and more.
- You are motivated by learning, evaluating, and deploying new technologies.
- Our services are deployed in an Amazon Web Services environment, and so you will be working hands-on with many AWS components.
- You thrive in a true-agile, highly paced, production-facing environment. You have a low tolerance for mediocrity.
- You love to write code and build extraordinary things.
- The Client MDR Engineering team is not consulting or client-facing.
- We push the cutting edge in AWS - daily - to be able to grow our platform to support the ever-growing security landscape to protect Client's clients.
- Our technical leaders in MDR Engineering lead by "doing" and working collaboratively with a geographically diverse set of teams by setting and maintaining a high bar for quality software delivery and attacking any technical challenges!
- This role focuses on leading multiple scrum teams through designing, developing, releasing, and maintaining Client MDR's big data & analytics platform.
- You achieve this by collaborating with the Chief Architect and other Technical Directors throughout the global organization to support projects/initiatives related to data acquisition, processing, and utilization through our enterprise big data platform in AWS - at scale!
- We are looking for coders, people who love to code, just like we do! You should be energetic, confident, and ready to contribute to many areas of the software development lifecycle.
- You may be involved in all the aspects from research, design, specs, coding, and bug fixing.
- Our team's focus is on writing dependable code and getting high-quality products and services to market as quickly as possible.
- Data Architect must have a minimum of 5 years of hands-on experience with Big data technologies (including Spark, Storm, and/or EMR) at scale
- Minimum 5 years of recent, hands-on, experience building upon AWS cloud-native services using EC2, S3, ECS, SQS, API Gateway, Lambda, etc.
- Minimum 4 years of experience with `infrastructure as code` IAC and using tools such as Terraform, Ansible, or Chef.
- Minimum 4 years of experience with CICD pipelines (i.e., Jenkins) with building and/or configuring pipelines for the build and deployment of software.
- Minimum 8 years coding knowledge and experience with Java and/or C# .NET and object-oriented methodologies
- Minimum 6 years of leading software design and architecture for large scale data platforms
- Minimum 6 years of leading, and contributing within, software engineering team delivery
- Minimum 3 years coding knowledge and experience with SQL
- Minimum 2 years experience of writing scripts in Python, PowerShell, or Bash
- Data Architect must have BS Degree in Computer Science or related technical field or equivalent practical knowledge
- Passion and interest in machine learning and cutting-edge data analytics
- Successfully developed for large scale distributed systems and reliable, fault-tolerant software at scale (i.e., petabytes of data)
- Experience in the design/build/maintenance/refactor of large-scale low latency high-performance systems
- Ability to quickly learn and develop expertise in existing highly complex applications and architectures
- Strong troubleshooting and debugging skills, particularly in both production and non-production environments.
- Experience using Agile methodologies, TDD, Code review, clear and concise documentation
- Data Architect must have Strong analytic, problem-solving, and troubleshooting skills
- Uncommon ability and motivation to tackle problems and learn fast
- Ability to perform at a high level within a technical team
- Ability to work independently with minimal supervision
- Excellent communication and relationship skills
- Distributed teamwork
Vacancy expired!
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