Principal Data Engineer - Lead Cloud Data Platforms

Ascendo Resources; Lewisville (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Ascendo Resources seeks a Principal Data Engineer to lead enterprise data platform design, scalable pipelines, and governance to enable advanced analytics. You will partner with engineering and business teams to translate complex data needs into trusted, actionable insights.

The role emphasizes hands-on leadership, cloud proficiency, and mentorship, across data modeling, architecture, and data quality initiatives, in a fast-paced enterprise environment.

Qualifications

• 12+ years of experience in data engineering, analytics, or related roles.
• Experience designing enterprise data solutions and platforms.
• Strong knowledge of cloud-based data platforms and modern practices.
• Advanced SQL, ETL/ELT, and distributed processing experience.
• Experience with Databricks, cloud data warehouses, or lakehouse architectures.
• Ability to translate requirements into scalable data solutions.

Responsibilities

• Lead design and implementation of enterprise-scale data platforms.
• Develop scalable data pipelines and analytics-ready datasets.
• Design data models and architectures to support BI and reporting.
• Build data processing solutions using modern cloud technologies.
• Establish data quality, validation, and monitoring frameworks.
• Create architecture diagrams, mappings, lineage, and data definitions.
• Implement governance including access controls and metadata management.
• Collaborate with engineers, analysts, and stakeholders to deliver reliable data solutions.
• Provide technical leadership and mentorship to teams.

Skills

SQL

Databricks

ETL/ELT

Data modeling

Data governance

Cloud data platforms

CI/CD

Terraform

dbt

Tools

Databricks

Cloud data warehouses

Lakehouse architectures

Job description

Ascendo Resources seeks a Principal Data Engineer to lead enterprise data platform design, scalable pipelines, and governance to enable advanced analytics. You will partner with engineering and business teams to translate complex data needs into trusted, actionable insights.

The role emphasizes hands-on leadership, cloud proficiency, and mentorship, across data modeling, architecture, and data quality initiatives, in a fast-paced enterprise environment.