Engineer II

GENERAL PURPOSE

The Engineer II (Data Technologies) is responsible for supporting, enhancing, and evolving the enterprise data platform that powers data engineering, analytics, and business intelligence across the organization. This role ensures the reliability, scalability, performance, security, observability, and cost efficiency of a modern cloud-based data ecosystem built primarily on Azure, Snowflake, and dbt, while maintaining a broad understanding of data ingestion, integration, governance, and analytics platforms. Working closely with data engineering, analytics, architecture, and infrastructure teams, the engineer enables platform consumers through operational excellence, automation, and continuous platform improvement.

The role is focused on platform engineering, including platform management, monitoring, performance optimization, production support, automation, and cost management, while also evaluating and enabling emerging technologies and architectural patterns such as lakehouse architectures, open table formats (e.g., Apache Iceberg), modern data platform services, and next-generation analytics capabilities. Success in this position requires strong hands-on technical expertise, including the ability to develop and troubleshoot solutions using SQL and Python, a proactive approach to problem-solving, a strong sense of ownership and accountability, and the ability to independently diagnose and resolve complex technical issues while driving continuous improvement across the platform.

The base salary range for this role is $114,300 – $195,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.

ESSENTIAL FUNCTIONS

Operations & Support
•    Maintain the health, availability, security, and reliability of enterprise data and analytics platforms.
•    Monitor system performance, troubleshoot complex issues, and drive root-cause analysis through resolution.
•    Participate in production support, incident response, change management, and continuous service improvement activities.
Engineering & Automation
•    Develop automation, operational tooling, and monitoring solutions that improve efficiency, consistency, and scalability.
•    Leverage SQL, Python, and related technologies to support administration, diagnostics, reporting, and process improvements.
•    Continuously enhance observability, alerting, and support capabilities to reduce operational risk and manual effort.
Optimization & Governance
•    Analyze usage, performance, and consumption patterns to identify opportunities for optimization, capacity planning, and cost efficiency.
•    Contribute to operational standards, governance practices, documentation, and platform roadmaps.
•    Collaborate with architecture, infrastructure, and security teams to ensure solutions align with enterprise standards and best practices.
Technology Enablement & Innovation
•    Evaluate and implement new capabilities through proof-of-concept and pilot initiatives.
•    Support the adoption of evolving cloud data technologies, modern data architectures, and open table formats.
•    Partner with data engineering and analytics teams to improve platform capabilities and overall user experience.

COMPETENCIES

QUALIFICATIONS & SPECIAL SKILLS REQUIRED

•    Minimum 7 years of IT experience in data technologies, including experience supporting, engineering, and operating enterprise data and analytics platforms in cloud-based environments.
•    5+ years of hands-on experience with Snowflake and modern cloud-based data platforms, including technologies such as dbt, Azure, and related data ecosystem tools. Experience with Snowflake administration, performance tuning, security, operational support, and cost optimization is highly desirable
•    Strong experience with SQL and Python for automation, diagnostics, troubleshooting, operational support, and platform improvements. Experience designing, implementing, and supporting CI/CD pipelines, source control practices, deployment automation, and DevOps processes for data platform solutions
•    Solid understanding of data warehousing, ELT/ETL frameworks, orchestration, data modeling, APIs, analytics/reporting platforms, and modern cloud data architectures
•    Experience monitoring, troubleshooting, and optimizing production platforms, including observability, incident management, root-cause analysis, performance tuning, and reliability improvements
•    Knowledge of cloud cost management, platform governance, and emerging data technologies such as lakehouse architectures, open table formats (e.g., Apache Iceberg), and next-generation analytics platforms.
•    Strong analytical, problem-solving, and communication skills, with a demonstrated ability to take ownership, work independently, quickly learn new technologies, and collaborate effectively across technical and business teams

EDUCATION / CERTIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, Information Systems or a related technical discipline

PHYSICAL REQUIREMENTS

SUPERVISORY RESPONSIBILITIES

N/A

DISCLAIMER:

This job description is a summary of the primary duties and responsibilities of the job and position.  It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities.  Contents are subject to change at management’s discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company’s overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.