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Lead Data Engineer

Lead Data Engineer

Dynatron Software, Inc.Richardson, TX, US
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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.

Role and Responsibilities

  • 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 Qualifications

  • 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
  • Soft skills

  • 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
  • What does the interview process look like?

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

  • Recruiter screening
  • 90 Min - Interview #1 is a culture-fit interview with some sanity checks of your skillset
  • 90 Min - Interview #2 is a technical interview to probe your knowledge. This role is not a hands-on technical role day-to-day, but you need to be technically sound to lead technical people and especially to lead strategy.
  • 30 Min - Interview #3 is rare but may occur for clarifications
  • Salary Range

    $140,000 - $170,000

    Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Sales, General Business, and Education

    Industries

    Wireless Services, Telecommunications, and Communications Equipment Manufacturing

    J-18808-Ljbffr

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    Lead Data Engineer • Richardson, TX, US

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