Peyton Resource Group
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Who You Are
You are an experienced and hands-on Data Engineering leader who combines strong technical expertise with a strategic mindset. You thrive on building data systems that are robust, efficient, and future-ready. You take ownership of end-to-end data architecture from ingestion through consumption, ensuring that the systems you build are trusted and high-performing. You are fluent in Python, PySpark, and SQL, and enjoy mentoring others, setting engineering standards, and collaborating across disciplines to drive data-driven decision-making.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Security and Privacy Responsibilities
Lead Data Engineer
Posted: 11/10/2025
2025-11-10
2026-01-12
Job Number: 22059
Job Description
Who You Are
You are an experienced and hands-on Data Engineering leader who combines strong technical expertise with a strategic mindset. You thrive on building data systems that are robust, efficient, and future-ready. You take ownership of end-to-end data architecture from ingestion through consumption, ensuring that the systems you build are trusted and high-performing. You are fluent in Python, PySpark, and SQL, and enjoy mentoring others, setting engineering standards, and collaborating across disciplines to drive data-driven decision-making.
Key Responsibilities
Lead the design, development, and scaling of data infrastructure that powers analytics, machine learning, and business automation.
Define and own data engineering best practices, including standards for data architecture & modeling, pipeline reliability, and quality assurance.
Architect and oversee complex ETL/ELT workflows across cloud data platforms such as Azure, Databricks, Snowflake, dbt, and automated ingestion tools.
Build and optimize production-grade data pipelines using Python, PySpark, and SQL.
Partner with data science, analytics, and software engineering teams to design data systems that enable advanced analytics and model deployment.
Mentor and coach data engineers, guiding career growth and technical excellence within the team.
Evaluate and implement innovative tools and frameworks to enhance productivity, scalability, and observability across the data ecosystem.
Lead and uphold enterprise data governance, including lineage tracking, master data management, privacy compliance, and security.
Collaborate with business stakeholders to align data engineering initiatives with enterprise priorities and long-term platform strategy.
Ensure data governance, privacy, and compliance are embedded throughout all data processes.
Required Qualifications
8+ years of experience in data engineering, data infrastructure, or related fields, including demonstrated leadership in architecting enterprise data solutions.
Deep expertise in Python, PySpark, and SQL for large-scale data processing and transformation.
Strong experience with cloud platforms (Azure, Snowflake, Databricks), including designing and optimizing cloud-native data pipelines.
Advanced knowledge of dbt for data modeling and transformation and tools for automated data ingestion.
Proven ability to design for reliability, performance, and cost optimization in large-scale data environments.
Excellent communication skills with the ability to influence cross-functional partners and leadership.
Preferred Qualifications
Experience leading data platform modernization or migration initiatives in cloud environments.
Proficiency with real-time and event-driven architectures (e.G., Kafka, Kinesis).
Familiarity with CI/CD practices for data pipelines and infrastructure-as-code (e.G., Terraform).
Experience supporting machine learning workflows, model monitoring, and feature store management.
Experience with data governance solutions (e.G., Purview, Collibra, Unity catalog).
Background in regulated industries such as financial services or insurance.
Security and Privacy Responsibilities
Follow organizational policies and procedures related to data security and privacy.
Participate in ongoing training for data handling best practices.
Treat all data with the highest standards of confidentiality.
Report any security or privacy incidents promptly.
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