Engineering Manager, Data Engineering
TRM LabsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Publishing, MediaIndustries
Requirements
- At least 10 years in Software/Data Engineering Development and/or Team management roles with an emphasis on implementing DWH and ETL/ELT industry best practices
- Understand data platform architecture concepts and know how to promote a project from inception to delivery
- Technology leader with the ability to lead others in fulfilling their potential
Responsibilities
- Manage and prioritize the data engineering backlog, ensuring alignment with business objectives and timely delivery of high-impact data solutions
- Lead delivery of data engineering projects, including planning, scoping, resource allocation, and execution to meet business goals
- Ensure timely and efficient execution of data pipeline development, maintenance, and optimization, driving continuous improvement in performance and scalability
- Coordinate cross-functional teams (Analytics, Engineering, Product, Sales, Marketing) to define data requirements, establish milestones, and deliver solutions on schedule
- Monitor and report on project progress, tracking key performance indicators (KPIs) and ensuring alignment with the overall program roadmap
- Establish and enforce program timelines and resource allocation, ensuring projects are delivered on time, within scope, and within budget
- Drive risk management and issue resolution, identifying potential roadblocks early and proactively implementing corrective actions
- Optimize and maintain cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) to ensure high availability, reliability, and cost efficiency for all data initiatives
- Develop and enforce data engineering best practices, including data governance, security, and quality assurance, across all project phases
- Conduct regular status meetings and reviews with stakeholders, ensuring transparency in progress and ensuring expectations are met
- Oversee the integration of new data sources, managing both short-term implementation and long-term integration strategies
- Foster a collaborative and high-performing team environment, providing guidance, mentorship, and ensuring that team objectives align with broader business goals
- Ensure timely and accurate documentation of engineering processes, project milestones, and system architecture for future reference and compliance
- Evaluate emerging tools and technologies, proposing new solutions or improvements to enhance the efficiency and impact of data engineering projects
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote, and what are the location requirements?
The position is fully remote for workforce in specific states: Arkansas, Colorado, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Minnesota, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Texas, Utah, Virginia, or Wisconsin. All team-wide meetings are scheduled to be inclusive of U.S. time zones.
What salary or compensation is offered for this role?
This information is not specified in the job description.
What key skills and experiences are required for the Manager, Data Engineering role?
The role requires experience leading data engineering teams, expertise in cloud-based data platforms like Snowflake, BigQuery, and Redshift, and skills in data pipeline development, data governance, security, and quality assurance. Strong leadership in managing projects, cross-functional coordination, and aligning data strategy with business objectives is essential.
What is the company culture like at The Krazy Coupon Lady?
The culture emphasizes innovation, collaboration, and continuous learning, with a focus on mentoring talent and fostering an agile, insight-driven environment. It supports a female-founder-owned mission to help readers maximize their money through curated deals.
What makes a strong candidate for this data engineering manager position?
A strong candidate has experience as a data leader advising business and technology leaders, managing data engineering backlogs and projects, coordinating cross-functional teams, and optimizing cloud data platforms while enforcing best practices.
The Krazy Coupon Lady
Couponing and deal-hunting resource for women
About The Krazy Coupon Lady
The Krazy Coupon Lady helps women manage their finances by simplifying couponing and deal hunting. Their main product is a mobile app that provides users with a continuous stream of deals, shopping tips, and life hacks to help them save money. The app gained popularity quickly, becoming the top lifestyle app in the Apple Store shortly after its launch in 2015. What sets The Krazy Coupon Lady apart from competitors is its focus on the female demographic and its commitment to community support, including a charitable organization that assists local refugees. The company's goal is to empower women to shop smarter and stretch their budgets further.
Eagle, IdahoHeadquarters
2009Year Founded
VENTURE_UNKNOWNCompany Stage
Consumer Software, Social Impact, Consumer GoodsIndustries
51-200Employees
Benefits
Remote Work Options
Risks
Increased competition from other money-saving apps could dilute KCL's market share.
Dynamic pricing algorithms may reduce the effectiveness of traditional couponing.
Changes in consumer behavior towards bulk buying could affect KCL's engagement.
Differentiation
KCL was founded by Joanie Demer and Heather Wheeler in 2009.
KCL's app debuted as the #1 lifestyle app in 2015.
KCL has an all-female executive team and a charitable organization.
Upsides
KCL benefits from increased consumer interest in grocery staples in 2023.
KCL's list of 62 stores with free shipping boosts holiday engagement.
92% of consumers using digital coupons in 2023 supports KCL's offerings.
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