Delivery Consultant, Data Engineering

Key qualifications:

• Bachelor's degree in Computer Science, Engineering, related field or equivalent experience.
• 3+ years of experience in cloud architecture and implementation.
• 3+ years experience with detailed knowledge of data warehouse technical architecture, infrastructure components, ETL / ELT and analytic tools, data engineering, and large scale data manipulation using distributed computing technologies (e.g. Spark, EMR, Hive, Kafka, RedShift).
• Current, active US Government Security Clearance of TS/SCI with Polygraph.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to engage with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will drive customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

As a Delivery Consultant, you will be proficient in architecting complex, scalable, and secure solutions tailored to customer needs. Responsibilities include:

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
• Providing technical guidance and troubleshooting support throughout project delivery.
• Collaborating with stakeholders to gather requirements and propose effective migration strategies.
• Acting as a trusted advisor to customers on industry trends and emerging technologies.
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

Key responsibilities:

1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
2. Providing technical guidance and troubleshooting support throughout project delivery.
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies.
4. Acting as a trusted advisor to customers on industry trends and emerging technologies.
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

About the team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all preferred 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 continue to innovate, which is why customers from successful startups to Global 500 companies trust our suite of products and services to power their businesses.

Inclusive Team Culture: 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 embrace our uniqueness.

Mentorship & Career Growth: We are striving to become Earth’s Best Employer. You'll find endless knowledge-sharing, mentorship, and other career-advancing resources to help you develop into a better-rounded professional.

Work/Life Balance: We value work-life harmony. Flexible work hours and arrangements are part of our culture, ensuring success at work doesn't come at the expense of home life.

Additional Qualifications

• Coding proficiency in Python.
• Knowledge of professional software engineering practices for the software development lifecycle, including coding standards, code reviews, source control management, and testing.
• Experience in relational database concepts with a solid knowledge of SQL and performance tuning for ETL solutions.
• Industry experience as a Data Engineer, maintaining, processing, and extracting value from large datasets.
• Experience leading large scale data engineering and analytics projects, using AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, and Lambda.
• Experience with non-relational databases/data stores (object storage, document or key value stores, graph databases, columnar databases).
• Experience implementing and managing data governance solutions for metadata management, discoverability, lineage, data quality, and access control.

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.