Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm seeks a Senior Data Engineer to lead technical engagements with customers and partners, focusing on data solutions that empower organizations to become data-first. This role requires a blend of technical expertise, leadership experience, and a passion for cloud technologies. You will engage with AWS services, deliver consulting proposals, and support the migration and development of applications in the cloud. Join a dynamic team that values diverse experiences and fosters a culture of inclusion, mentorship, and career growth. If you thrive in a fast-paced environment and are eager to make an impact, this is the opportunity for you.

Benefits

Mentorship Programs

Flexible Work Hours

Career Growth Opportunities

Inclusive Team Culture

Work/Life Balance Initiatives

Qualifications

• 7+ years of experience in data modeling and ETL pipeline development.
• 10+ years of leadership experience in a technical, customer-facing role.

Responsibilities

• Collaborate with AWS teams to help partners and customers use AWS services.
• Deliver on-site technical engagements and create consulting proposals.

Skills

Data Modeling

Data Warehousing

ETL Pipelines

SQL Optimization

Leadership

Communication Skills

Big Data Technologies

Python Programming

Data Architecture

Performance Tuning

Education

Bachelor's degree in Computer Science

Tools

AWS Services (S3, Redshift, EMR)

Open Source Data Technologies (Hadoop, Spark)

Unix Profiling Tools

Job description

Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan

Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and compliance, performance and scale, availability and manageability. They advise customers on data platforms using the full range of AWS services. They also assist with the non-technical change management work on policies, processes and people changes.

At AWS, we’re looking for technical architects to collaborate with our customers and partners on key engagements, while helping our partners to develop technical expertise and capacity. The individual requires a strong combination of technical experience, hands-on keyboard capacity, technical leadership experience, and ability to learn fast in a fast-paced environment. They will focus on customer solutions that enable customers to be a data-first organization.

Key job responsibilities

1. Expertise: Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.
2. Solutions: Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings.
3. Delivery: Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.

About the team

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Minimum Requirements

1. Bachelor's degree in Computer Science, Engineering, Math, or related discipline
2. 7+ years of experience with data modeling, data warehousing, and building ETL pipelines
3. 10+ years of leadership experience in a technical, customer-facing role in the technology industry
4. Experience in working with data lakes, modern data architectures, Lambda type architectures
5. Proficiency in writing and optimizing SQL
6. Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS
7. Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
8. Ability to write code in Python, Ruby, Scala or other platform-related Big data technology
9. Knowledge of professional software engineering practices & best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations
10. Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)
11. Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
12. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
13. Experience building data products incrementally and integrating and managing datasets from multiple sources
14. Query performance tuning skills using Unix profiling tools and SQL
15. Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
16. Linux/UNIX including to process large data sets

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.