Senior Data Governance Engineer

General Motors•Austin, TX

34d•Hybrid

About The Position

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Innovation Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role As a Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team? LEVEL EXPECTATIONS: Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. Has significant operational impact across their function.

Requirements

7+ years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3+ years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer
Stream-processing systems: Storm, Spark-Streaming, etc.
Ability to tackle problems quickly and completely
Ability to identify tasks which require automation and automate them
A demonstrable understanding of networking/distributed computing environment concepts
Ability to multi-task and stay organized in a dynamic work environment

Nice To Haves

Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
AWS cloud services: EC2, EMR, RDS, Redshift

Responsibilities

Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards
Create and maintain optimal data pipeline architecture
You will assemble large, complex data sets that meet functional / non-functional business requirements
You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs
Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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