JOB SUMMARY

The Senior Engineer, Data
Platform Engineering, designs, develops and maintains digital technology
infrastructure to support information technology applications and services.
With minimal supervision, this person collaborates with cross functional teams
to define, design and implement new features to meet user needs and business
goals, and upgrade existing platforms to improve performance and functionality
through writing clean, efficient and scalable code and troubleshooting and
debugging complex issues. This job also participates in code reviews to
maintain high code quality and share knowledge with platform engineering team
members.

ESSENTIAL FUNCTIONS

·
Software Development
: Designs and develops high quality software solutions by writing
clean, maintainable and efficient codes.

·
Automation
: Leads the application of internal software deployment platform,
continuous integration or continuous delivery pipeline and twelve factor
development methodology to automate the deployment process, ensuring smooth and
reliable releases.

·
Collaboration
: Partners with cross functional team of product managers, designers
and other engineers to gather complex requirements and deliver solutions that
meet business needs.

·
Testing & Debugging
: Writes and maintains complex unit tests and integration tests and
performs debugging to maintain the quality and performance of the software,
applying test driven development as needed.

·
Continuous Improvement
: Recommends options for improving the software development and
deployment processes and implements the approved standards to improve
efficiency and reliability.

·
Documentation
: Creates and maintains comprehensive documentation for complex
software applications, deployment processes and system configurations.

·
Technical Support:
Provides technical support and troubleshooting for complex issues
with deployed applications to ensure minimal downtime and fast resolution.

·
Reliability & Professionalism:
Delivers across multiple teams/programs with reliable forecasts;
manages risks/constraints; maintains operational health metrics and on
‑
call reliability.

·
Design & Solutioning:
Designs and builds moderately complex data products that meet
functional and non
‑
functional
requirements. Ensures solutions are scalable, cost
‑
aware, and observable.

WORK EXPERIENCE REQUIREMENTS:

·
Minimum requirement of 5 years
of relevant work experience out of a total of
8 plus years
in the
industry. Typically reflects 10 years or more of IT experience.

·
Proficient
in Python frameworks for data processing, API integration, and
working with various data formats used in big data and streaming systems.

·
Design and operate
secure data platforms and pipelines on AWS, leveraging core
services such as IAM, S3, Lake Formation, Glue, Lambda, RDS and CloudWatch.

·
Strong command of
SQL
and relational databases, supporting data-driven applications and analytics.

·
Implement and manage
fine
‑
grained access controls
for data assets,
including role-based and attribute-based access patterns.

·
Build and maintain
metadata
capabilities
(cataloging, classification, lineage, and tagging) to support
governance, discoverability, and compliance. Experience with cataloging and
discovery tools.

·
Embed
security-by-design
across data ingestion, storage, and consumption layers, including encryption,
secrets management, network controls, and audit logging.

·
Align platform implementations
with control frameworks such as NIST, translating policy requirements into
enforceable technical controls and
supporting audit
readiness.

·
Collaborate
with data, platform, and security teams to enable scalable,
self-service data access while maintaining strong governance standards.