Lead Data Engineer

We are seeking a Lead Data Engineer to lead our Data Architecture and Data Engineering strategy and execution, delivering world-class solutions that run our business today and scale for the future. This is a key leadership role on the data team and is focused on innovation and delivery, not maintenance.

• BOTH leadership and hands-on experience.
• You will be a thought leader in evaluating and recommending best practices.
• You will also be hands-on in implementing these best practices.
• Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Define and build a new Data Architecture.
• Evaluate and challenge the current architecture based on your prior experience and justify your recommendations. Don’t just accept the status quo.
• Become an expert on all aspects of Dynatron data.
• Weave Data Quality into EVERY aspect of our data architecture. A customer should never find a quality issue before we do.
• Design, implement and automate best-of-breed data pipelines using platforms such as Snowflake, AWS, Python, Airbyte/Fivetran, Airflow, and Stored Procedures.
• Design, model and implement data warehouses on the Snowflake platform. You MUST have expert experience in Snowflake.
• Collaborate closely with cross-functional teams, including product owners, software engineers, data scientists and business stakeholders, to understand data requirements and deliver solutions that meet evolving business needs.
• Lead by example, demonstrating a commitment to excellence, integrity, and professionalism in all aspects of your work.

• Minimum 10 years hands-on experience in data engineering with a minimum of 4 years in a lead role
• Bachelor Degree or equivalent experience in Data Engineering or Computer Science
• Unimpeachable technical knowledge in Data Engineering and Architecture
• Strong hands-on experience with data infrastructure technologies such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (e.g., Snowflake, Databricks, and Redshift)
• Proficiency in Python, SQL, and data modeling techniques
• Experience with AWS cloud platform
• Deep understanding of data architecture, pipelines, warehousing, and real-time data streaming
• Proven leadership and team management abilities
• Strategic thinking and ability to align Data with business goals
• Understanding of industry regulations and compliance requirements

• Critical thinking skills
• Ability to support your position without rigidity
• Can handle differing opinions with professionalism
• Impeccable communication skills
• Excellent presentation skills
• Unquestioned integrity
• True understanding of sense of urgency
• Natural understanding of what it takes to be a go-getter

Our interview process is designed to identify high-performance individuals. It typically includes the following steps:

$140,000 - $170,000

Mid-Senior level

Full-time

Sales, General Business, and Education

Wireless Services, Telecommunications, and Communications Equipment Manufacturing