Sr Data Engineer
Sr Data Engineer
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1 Vacancy
Job Description
Prefer someone to St Louis MO to work onsite from Day 1
I need a true Architect/Developer with expertise with: SnowPipe/SnowPark/ADF Scala
I need a person who has 100% perfect communication. (to lead conversation with C-Level)
True developer/hands on with Scala
We need TWO (2) of the very best at this skillset in the industry.
Perfect communication to meet with Senior leadership
Expertise building custom data pipelines with (Snowflake SnowPark SnowPipe Scala
Must live in St. Louis Or Relocate on day 1
Requirements:
- Director-level person / personality
- Executive-level communication skills required
- work with Executive leadership to communicate ideas
- build trust with technical depth and collaborate.
- Technical - Most Senior Data Engineer / Principal Architect level role
- 3 years Snowflake experience
- Expert: Snowflake SnowPark (data science) Data ingestion (SnowPipe Azure Data Factory)
- Programming : Scala (build custom data pipelines Python (data modeling) PySpark
- Azure preferred AWS or GCP is acceptable.
- Expert building Data Pipelines
- Must Start October 1st
About the Job
Safety National - owned by Tokyo Marine (large equity holding fund)
Project involves extracting value from third-party administrator data using Snowflake platform
High Priority - Customer facing handling architecture challenges and leading the conversation.
Ready to take a step towards a principal role soon and have the visible leadership to run this large project and interact with their executive team. Carry that leadership torch for Safety National and be in the leadership pipeline for us.
JOB DETAIL
We are seeking a highly skilled and experienced Senior Data Engineer to design and build a robust set of data ingestion and processing pipelines maintaining best practices for a data lakehouse architecture. This is a highly visible client-facing role that requires a blend of technical expertise architectural leadership and strong communication skills. Youll be the technical lead working closely with team members to deliver innovative data solutions that support analytics machine learning and real-time decision-making.
Key Responsibilities
- Lead the design implementation and maintenance of scalable data lakehouse platforms using modern tools like Databricks Snowflake and Apache Iceberg.
- Develop and optimize high-performance batch and streaming ETL/ELT pipelines with a strong focus on Snowflake Snowpipe and Snowpark.
- Act as a technical leader managing architecture discussions and leading conversations with both internal teams and external clients.
- Implement and enforce data quality governance and security best practices to ensure data integrity and compliance.
- Identify opportunities to integrate platform-level AI tools (like those in Snowflake Databricks and Fabric) to outpace traditional data science efforts and deliver faster more impactful insights.
- Collaborate with cross-functional teams including data scientists and business stakeholders to deliver high-quality business-critical datasets.
Qualifications
- Slowflake experience/proficiency is critical.
- Azure experience is preferred but Google Cloud and AWS okay
- 5 years of professional experience in data engineering.
- Strong technical leadership and excellent communication skills with proven experience in a client-facing role.
- Deep expertise in cloud data platforms with significant hands-on experience in Snowflake.
- Demonstrated experience with data lakehouse design patterns and modern data architectures.
If you are interested or have any references please share resume at
Employment Type
Full-time
