Livefront
We help companies grow by creating digital products people love.
Director, Data Engineering
Location
Minnesota
Posted
114 days ago
Salary
$165K - $200K / year
Bachelor Degree7 yrs expEnglishAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL
Job Description
• As a Director of Data Engineering at Livefront, you will lead the data practice covering data engineering, data science, machine learning, and data analytics.
• This is a billable role where you will employ a "lead by example" style of leadership.
• In addition to client work, you will mentor, support, and manage the engineers reporting directly to you.
• You will work with Livefront Client Partners and the rest of the Livefront team to create and refine the overall technical vision for our data engagements.
• You will participate in technical discovery, advocate for Livefront's engineering philosophy and approach, choose the right technologies to solve the problem, and see projects through to completion.
• You will collaborate with Livefront leadership to push everything we do forward across our three pillars, noted below.
• Help shape the direction of an emerging data practice at Livefront.
• Work with the data team to continually refine our architectures, platforms, and engineering standards and facilitate the adoption of those ideas across the team and our client projects.
• Architect and oversee the design of scalable, secure, and performant data systems across a variety of cloud environments (e.g., AWS, Azure, GCP) and data platforms (e.g., Databricks, Snowflake).
• Define our standards for data engineering, code reviews, testing, security, performance monitoring, and data governance, and ensure conformance with those standards across all our projects.
• Plan, estimate, and execute data engineering initiatives for the organization and our client projects.
• Ensure the security, privacy, and compliance of all data systems, pipelines, and products.
• Roll up your sleeves and work directly in the codebase frequently.
• Create architecture diagrams, data flow diagrams, and other technical illustrations to enable effective communication regarding technical requirements.
Job Requirements
- Experience leading data engineering teams.
- Experience leading or working very closely with data scientists, machine learning engineers, and data analytics professionals.
- Experience teaching, mentoring, and motivating data engineers.
- Deep expertise with Databricks as a developer, architect, and practice leader, including proficiency with Spark and large-scale data processing.
- Experience with strategic planning, leading and facilitating technical problem solving, designing data solutions in a team environment, and motivating and managing teams to successful execution.
- Experience setting and maintaining standards and expectations for data engineering best practices, code reviews, testing, and data observability.
- At least 7–10 years of data engineering experience, ideally in a consulting environment or as part of an in-house, cross-functional product team.
- Proven experience designing and implementing data warehousing solutions at scale.
- Expertise in building production ETL/ELT pipelines with a focus on reliability and performance.
- Deep understanding of cloud data platforms (AWS, Azure, and GCP) with the ability to architect solutions on any of them.
- Strong proficiency in SQL and Python with the ability to write clean, performant, and maintainable code.
- Strong understanding of data modeling, schema design, and query optimization.
- Knowledge of data governance, security best practices, and compliance requirements.
- Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively.
- Renowned problem-solving skills.
- Above-average discipline and personal organization skills.
- A demonstrated hunger for personal and professional growth.
- A self-evident love and care for the craft of data engineering.
Benefits
- We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications.
- We encourage candidates from all backgrounds to apply and consider all qualified applicants.
- Don't worry, every application will be reviewed by a human.
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