Senior Data Engineering Manager at New Western in Irving, TX | Kablio

Role

Description

data strategy

serverless pipelines

streaming ingestion

data pipelines

data architecture

observability ci/cd

Partner with leaders across Business Intelligence, Product, Engineering, Tech, and Business teams to translate business needs into a scalable data strategy.
Ensure optimal performance, uptime, and resilience of mission-critical data workflows.
Manage the design and deployment of event-driven data processing solutions using AWS Lambda, SQS, SNS, and related serverless patterns.
Lead, mentor, and grow a high-performing team of data and platform engineers.
Lead and improve end-to-end data lifecycle processes, including ingestion, transformation, quality, testing, and monitoring.
Ensure the technical vision and roadmap for the data engineering organization aligns with business goals.
Lead the development of real-time and streaming data ingestion pipelines using platforms such as Kinesis, Kafka, or equivalent technologies
Oversee the design, build, and maintenance of robust data pipelines and ELT/ET frameworks.
Ensure data systems adhere to best-in-class performance, security, governance, reliability, and scalability.
Implement data observability and CI/CD for data pipelines.
Evaluate, introduce, and manage modern data tools and technologies.
Supervise the design, build, and maintenance of high-performance APIs and data services that support internal and external applications.
Supervise the architecture of scalable data models and storage solutions aligned with enterprise data standards.

Requirements

api integration

terraform

aws

snowflake

ci/cd

leadership

Background in designing multi-environment (dev/staging/prod) data ecosystems.
Hands-on experience building, maintaining, and integrating APIs (REST, GraphQL, or similar) as part of data products or internal data services.
8+ years of experience in data engineering, including 3+ years in a leadership or management role
Familiarity with Infrastructure as Code (e.g., Terraform) and DevOps practices.
Proven track record architecting large-scale, distributed data systems.
Strong communication skills with the ability to explain complex data topics to technical and non-technical audiences.
Deep hands-on expertise with the modern data stack technologies (e.g. AWS, Snowflake, dbt, Airflow, GitHub, Matillion, Openflow, Fivetran, etc.)
Experience implementing automated testing, CI/CD, data quality frameworks, and observability tools.

Benefits

Opportunities for Growth in a Rapidly Scaling Company
Medical, Dental, Vision + Short-Term Disability
401K with Match
Flexible PTO

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded with a mission to help investors find profitable real estate opportunities, New Western has become a key player in property investment and renovation.
The company focuses on purchasing distressed properties, renovating them, and making them available for sale or rent, offering solutions in both residential and commercial real estate markets.
With a deep understanding of market trends, New Western partners with investors, providing them with reliable property acquisition and renovation services.
The company's business model revolves around identifying value in underappreciated properties, transforming them into high-demand homes and investment assets.
Notable for its vast network of contractors, real estate professionals, and investors, New Western continues to grow its presence in markets across the U.S.
The company prides itself on its ability to make real estate investments accessible and profitable, with a sharp focus on cost-effective renovations.

Culture + Values

Independent thinkers with an entrepreneurial mindset.
Committed to accountability and delivering results.
Focused on solving customer problems with a customer-centric approach.
Dedicated to continuous improvement and growth-oriented progress.
Innovative and pushing industry boundaries.

Environment + Sustainability

Committed to sustainability in real estate operations.
Implementing energy-efficient practices in the properties we manage.
Striving to meet sustainability goals with a focus on waste reduction and resource optimization.
Focused on reducing carbon footprints by using sustainable building materials.

Inclusion & Diversity

We value diverse perspectives and foster an inclusive workplace.
We support equitable opportunities for all employees to grow and succeed.
Our workforce includes individuals from various backgrounds, ensuring diverse representation.

Articles

About Us

Careers

Role

Description

data strategy

serverless pipelines

streaming ingestion

data pipelines

data architecture

observability ci/cd

Partner with leaders across Business Intelligence, Product, Engineering, Tech, and Business teams to translate business needs into a scalable data strategy.
Ensure optimal performance, uptime, and resilience of mission-critical data workflows.
Manage the design and deployment of event-driven data processing solutions using AWS Lambda, SQS, SNS, and related serverless patterns.
Lead, mentor, and grow a high-performing team of data and platform engineers.
Lead and improve end-to-end data lifecycle processes, including ingestion, transformation, quality, testing, and monitoring.
Ensure the technical vision and roadmap for the data engineering organization aligns with business goals.
Lead the development of real-time and streaming data ingestion pipelines using platforms such as Kinesis, Kafka, or equivalent technologies
Oversee the design, build, and maintenance of robust data pipelines and ELT/ET frameworks.
Ensure data systems adhere to best-in-class performance, security, governance, reliability, and scalability.
Implement data observability and CI/CD for data pipelines.
Evaluate, introduce, and manage modern data tools and technologies.
Supervise the design, build, and maintenance of high-performance APIs and data services that support internal and external applications.
Supervise the architecture of scalable data models and storage solutions aligned with enterprise data standards.

Requirements

api integration

terraform

aws

snowflake

ci/cd

leadership

Background in designing multi-environment (dev/staging/prod) data ecosystems.
Hands-on experience building, maintaining, and integrating APIs (REST, GraphQL, or similar) as part of data products or internal data services.
8+ years of experience in data engineering, including 3+ years in a leadership or management role
Familiarity with Infrastructure as Code (e.g., Terraform) and DevOps practices.
Proven track record architecting large-scale, distributed data systems.
Strong communication skills with the ability to explain complex data topics to technical and non-technical audiences.
Deep hands-on expertise with the modern data stack technologies (e.g. AWS, Snowflake, dbt, Airflow, GitHub, Matillion, Openflow, Fivetran, etc.)
Experience implementing automated testing, CI/CD, data quality frameworks, and observability tools.

Benefits

Opportunities for Growth in a Rapidly Scaling Company
Medical, Dental, Vision + Short-Term Disability
401K with Match
Flexible PTO

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found