I. Job Summary
The Principal Software Engineer, within the Data Services (Corporate) team, is a principal-level technical role responsible for the design, development, and optimization of enterprise data solutions. This position focuses on building and maintaining scalable, reliable, and secure data systems that support business operations and analytics. The Principal Software Engineer undertakes highly complex projects requiring additional specialized technical expertise, applies advanced software engineering practices, works with modern data platforms (Snowflake, AWS, DBT, etc.), and ensures solutions follow enterprise standards.
While the primary focus is on engineering and solution delivery, the role also requires knowledge of data architecture principles and business analysis practices to effectively collaborate with architects, analysts, and stakeholders. This combination ensures that technical solutions are aligned with business needs and long-term data strategy.
II. Essential Duties and Responsibilities
Build data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL/ELT tools including but not limited to Informatica, AWS Glue, DBT, etc., Cloud Data Warehouse including but not limited to Snowflake, Oracle, IBM PureData, SQL, Shell Scripting, Python, AWS technologies, GitHub, various scripting languages, data quality tools, and metadata management tools.
Design, develop and document ETL/ELT, event-driven data integration architecture solutions. Troubleshoot and tune complex SQL.
Presents, communicates, and articulates technical processes effectively to all levels of the organization (including technical and non-technical audiences, Senior Leadership, VPs and the C-level executives).
Contributes strategic vision and integrates a broad range of ideas regarding applications and software data development.
Work with the Business Analysts, Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to establish an understanding of source data, determine data transformation and integration requirements to align engineering solutions with enterprise data strategies and technical standards
Provide technical leadership in coding, testing, and code reviews; Mentors and fosters growth of peers and team members.
Support data quality, governance, data observability, and compliance through development of frameworks, metadata, and standards.
Apply engineering best practices to ensure performance, reliability, and scalability of enterprise data solutions.
Works with customers and technical staff to resolve problems with software and responds to suggestions for improvements and enhancements.
Participate in the creation of technical documentation, including data flows, integration specifications, and solution designs.
Stay current with emerging technologies in data management and AI. Recommend improvements to existing solutions.
III. Qualifications
A. Required Qualifications
Education Requirement: Bachelor's Degree (accredited) in Computer Science, Data Science, MIS or similar area of study.
Experience Requirement: Ten (10) years of previous experience required (in addition to education requirement).
B. Knowledge, Skill & Abilities
Expert level with data engineering expertise, including ETL, data warehouses, marts, and lake development
Expert level experience working with SQL relational and noSQL databases, query authoring (SQL) as well as working familiarity with a variety of databases
Expert level experience working with Cloud Datawarehouse like Snowflake, IBM PureData, Google BigQuery, Amazon Redshift
Expert level experience working with AWS cloud services: ASW Glue, EC2, S3, Lambda, SQS, SNS, etc.
Expert level experience working with with GitHub, CI/CD and its integration with the ETL tools for version control
Expert level experience working with with Informatica PowerCenter, various scripting languages, SQL, querying tools
Expert level experience working with with modern data management tools and platforms including Spark, NoSQL, APIs, Streaming, and other analytic data platforms
Proficient level experience in data observability
Proficient level experience in Agile/Scrum project management and product ownership
Expert level in enterprise data management, integration patterns, and metadata practices
Expert level to apply architecture and analysis knowledge when working with cross-functional teams
Expert level strong problem-solving skills with attention to detail and quality
Excellent communication skills for both technical and non-technical audiences
Proficient ability to lead, mentor, and collaborate within a high-performing engineering teams
Expert level in systems development, implementation, upgrades and analyses
Proficient in QA testing, catalyst or unified business modeling, system design and analysis
Knowledge of enterprise coding standards
Expert level with hands on experience in writing highly complex code
Ability to perform code reviews
Expert knowledge of software methodologies
Ability to learn new and emerging technologies
Ability to multitask, meet deadlines, and work in a fast-paced environment
Ability to adapt to change
Demonstrate flexibility and a willingness to undertake a wide variety of challenging tasks
General business knowledge and concepts
IV. Physical Requirements
Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.
Repetitive Motions
Eye/Hand/Foot Coordination
Sitting
Talking
Hearing
Office: This job primarily operates in a professional office environment and routinely requires the use of standard office equipment such as computers, phones, copy machines, etc.
V. Benefits
At WM, each eligible employee receives a competitive total compensation package including Medical, Dental, Vision, Life Insurance and Short Term Disability. As well as a Stock Purchase Plan, Company match on 401K, and more! Our employees also receive Paid Vacation, Holidays, and Personal Days. Please note that benefits may vary by site.
If this sounds like the opportunity that you have been looking for, please click Apply.
Equal Opportunity Employer: Minority/Female/Disability/Veteran
