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Livefront · 1 day ago

Director, Data Engineering (Databricks)

United States

Full-time

Remote

Director/Executive

$165K/yr - $200K/yr

7+ years exp

Livefront is a company that helps organizations design and build exceptional digital products. They are seeking a Director of Data Engineering who will lead the data practice, manage a team of engineers, and drive data-related initiatives to enhance client understanding and business outcomes.

Augmented RealityMobile AppsSoftwareWeb Apps

H1B Sponsor Likely

Responsibilities

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

Stay current with AI trends, technologies, models, frameworks, eval methods, and responsible AI practices. You will proactively learn new advancements and bring these learnings to our practice in a pragmatic, applied way. You may lead or contribute to strategic spikes exploring new models, APIs, or frameworks

Monitor the landscape of relevant AI platforms and identify potential partnership opportunities for Livefront. You may support these partner development activities in a subject matter expert capacity

Support proposal writing, pre-sales discovery, and client presentations as a data and AI subject matter expert

Provide technical leadership, guidance, and mentorship for data engineers on the team

Conduct employee performance reviews and support and cultivate professional growth for the engineers directly reporting to you

Foster a culture of learning, ownership, accountability, and transparency for the data engineering team

Actively participate in the recruiting process by interviewing candidates in one-on-one or group settings and evaluating candidates’ technical abilities via interviews or code review

Contribute to the broader data engineering community through writing, public speaking, and open source

Commit to at least two articles or speeches at public events each year

Mentor other engineers regarding community contributions

Participate with high visibility in community events

Qualification

DatabricksData engineeringCloud platformsETL/ELT pipelinesSQLPythonData governanceData modelingPersonal organizationTechnical diagrammingCommunication skillsProblem-solving skillsMentoring

Required

At least 7–10 years of data engineering experience leading data engineering teams in a consulting/agency environment or as part of an in-house cross-functional product team

Deep expertise with Databricks as a developer, architect, and practice leader, including proficiency with Spark and large-scale data processing

Experience leading or working very closely with data scientists, machine learning engineers, and data analytics professionals

Experience teaching, mentoring, and motivating data engineers

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

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

Preferred

Have strong illustration skills for technical diagramming and data architecture documentation

Have worked with real-time streaming technologies (Kafka, Kinesis, or similar)

Have experience with cloud data platforms beyond Databricks, such as Snowflake

Have familiarity with machine learning pipelines and MLOps practices

Have experience in healthcare or fintech domains

Have experience with Java, Go, or Scala

Have contributed to open-source data projects

Have publicly released your own personal, self-started data products or tools

Benefits

Incentive plan

Company

Livefront

Livefront develop and create remarkable mobile apps, team builds stunning mobile applications for people in motion, work on a regular basis.

Founded in 2015

Minneapolis, Minnesota, USA

51-200 employees

https://livefront.com/

H1B Sponsorship

Livefront has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2024 (2)

2023 (1)

2022 (1)