
Senior Data Engineer
Role summary
The Enterprise Analytics Center of Excellence is seeking a Senior Data Engineer to build and operate a next-generation analytics stack centered on Snowflake (AWS) and Sigma. This role involves designing and maintaining scalable data pipelines, migrating existing pipelines, and creating governed semantic views using dimensional modeling best practices. The engineer will implement RBAC frameworks, support metadata management, and ensure compliance with governance standards. Responsibilities also include delivering clean data sets for analytics tools like Sigma, optimizing query performance, and staying abreast of industry trends in data engineering and analytics, including AI/ML and NLP-powered BI. A Bachelor's degree in computer science or equivalent experience is required, along with expertise in Snowflake, AWS, data modeling, ETL/ELT, governance, SQL, and Python.
The Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake (AWS) and Sigma. We are looking for a Sr Data Engineer who will play a critical role in shaping and operating this modern architecture. This role is not just about maintaining pipelines. It’s about helping lead the way in adopting cutting-edge analytics practices, scaling governed data models, and exploring new trends in the industry.
- Ingestion & Transformation
- Design, build, and
maintain
scalable data pipelines in
Snowflake OpenFlow
and other Snowflake-native services.
- Migrate existing
Dataiku pipelines
to Snowflake, reducing complexity and cost.
- Continuously improve workflows for performance, reliability, and efficiency.
- Semantic Modeling & Views
- Create and
maintain
Snowflake semantic views
that serve as the governed data layer for analytics.
- Apply
dimensional modeling
best practices to ensure consistency and reusability across business domains.
- Enable
role-based semantic views
for Finance, Operations, and other enterprise functions.
- Governance & Security
- Implement and maintain
RBAC frameworks
using
Active Directory roles/groups
.
- Support
metadata management and cataloging
surfaced directly in
Sigma
.
- Ensure pipelines and models
comply with
enterprise data governance standards.
- Analytics Enablement
- Deliver clean, governed data sets for
Sigma dashboards, Ask Sigma (NLP), Write-Back, and embedded analytics
.
- Monitor and tune query performance to
optimize
cost and speed.
- Provide technical depth to ensure analytics can scale securely and efficiently across the enterprise.
- Innovation & Continuous Improvement
- Stay on top of the
latest trends in data engineering and analytics
(semantic layers, LLM-powered BI, write-back, real-time pipelines, etc.).
- Bring
**new ideas
and emerging technologies**
to ALS for evaluation and potential adoption.
- Automate testing, monitoring, and deployment processes to keep the stack modern and efficient.
Education and Experience:
Bachelor’s degree in computer science or related field,
required
. Equivalent experience may be considered
Skills and Abilities
:
- **Snowflake
expertise**
: SQL, OpenFlow, Tasks/Streams, performance tuning, semantic views.
- Cloud experience
: Strong hands-on with
AWS
(S3, IAM, Glue, Lambda a plus).
- Data modeling
: Dimensional modeling, facts/dimensions, semantic design.
- ETL/ELT engineering
: Proven ability to build and
optimize
large-scale pipelines.
- Governance & Security
: AD/LDAP integration, RBAC, cataloging.
- Programming
: SQL
required
; Python
required
- Curiosity and enthusiasm for
**cutting-edge
analytics tools and approaches**
.
Preferred Skills:
- Experience migrating
Power BI models/reports
into Snowflake + Sigma.
- Familiarity with
Sigma features
: Ask Sigma, Write-Back, Embedded Analytics.
- Exposure to
Dataiku
(to support migration away from it).
- Interest
in
AI/ML-powered analytics and NLP-based BI interfaces
.
Travel:
- Up to
25% travel
Standard and Physical Requirements:
- Position involves sitting
long periods
, standing, manual dexterity, stooping, bending and minimal lifting
Alliance Team Members Demonstrate DRIVE:
- Dedicated
: Follows through on commitments. Strong say/do.
- Respectful
: Acts with integrity and
values
diverse perspective.
- Innovative
: Always looking for a better way;
leads
change
.
- Versatile
: Adapts quickly to changing circumstances. Demonstrates agility.
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