Senior Data Engineer: Scalable Pipelines & Insights

Guild-Mortgage-Company-LL; United States; On-site; USD 109,000 - 156,000; Full time

Job summary

Guild Mortgage Company seeks a Senior Data Engineer to lead data strategy and optimize enterprise data pipelines. You will expand data architecture, ELT from diverse sources, and enable data delivery for developers, analysts and data scientists. Strong governance, security and scalable design are essential.

The role partners with business and technology leaders and drives insights across Revenue and Operations. Excellent leadership and communication are required.

Qualifications

• Bachelor's Degree in Statistics, Computer Science, Data Science, or related quantitative field.

Responsibilities

• Partner with stakeholders to support data infrastructure needs by collecting data and optimizing data architecture.
• ELT data from primary sources into the data lake to create optimal data pipeline architecture using Snowflake and Informatica.
• Assemble large, complex data sets to meet business requirements.
• Automate processes and redesign infrastructure for scalability and auditability.
• Design and build analytics solutions using data pipelines to provide insights on revenue, efficiency and expenses.
• Maintain data security and privacy through data masking and access controls.
• Lead stakeholder reviews and design sessions and provide data, reports to management.
• Monitor data warehouse performance and data accuracy; mentor junior staff.

Skills

Big Data pipelines

Data architecture

ELT

Snowflake

Informatica IICS

SQL

Kafka

Spark

NoSQL

Airflow

Data governance

Leadership

Education

Bachelor's Degree

Tools

Informatica Intelligent Cloud Services

Snowflake

Apache Kafka

Apache Spark

SQL Databases

NoSQL Databases

Airflow

Job description

Guild Mortgage Company seeks a Senior Data Engineer to lead data strategy and optimize enterprise data pipelines. You will expand data architecture, ELT from diverse sources, and enable data delivery for developers, analysts and data scientists. Strong governance, security and scalable design are essential.

The role partners with business and technology leaders and drives insights across Revenue and Operations. Excellent leadership and communication are required.