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Dynatron SoftwareDS

Lead Data Engineer

Dynatron Software

Salary: 140k-170k USD

United States only
Who we are looking for

Have you ever coded in your sleep? Does AI come to you for answers? Do you complete tasks before people ask you to do them? Are you secretly bullet-proof? No? Fortunately, we would accept 3 out of 4! Seriously, in short, if you believe the impossible has just not been proven possible yet, have a passion for delivering results over words, urgency over delay and contributing to a team of accountable people with grit and determination, keep reading.

We are seeking an experienced, skilled and motivated … Ok nope, let’s get real…

We are seeking someone who runs into the fire, not away. Someone who eats challenges for breakfast and disasters for lunch. Someone who thinks there is not enough data in the world to consume, curate and crunch. Someone who embraces the future and prides themselves on delivering not just results, but exceptional solutions that should win awards. Someone who laughs when they hear “it can’t be done” and someone who holds themselves to a standard higher than they can achieve. We are looking for an absolute go-getter to join our rapidly growing company as the Lead Data Engineer. This is a key leadership role on our data team and will go to the person who demonstrates exceptional performance and continuous improvement. You will be responsible for leading our Data Architecture and Data Engineering strategy and execution to deliver world class solutions that run our business today and scale for the future. This is not a maintenance role. This is an innovation and delivery role.

Technical knowledge in data engineering and data architecture, hands-on experience, leadership, communication and partnering skills are the absolute minimum requirements to be successful in this role.

Role and Responsibilities (read: All of this all the time)
  • 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 (read: You need more than this)
  • 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 (read: Should be obvious in the first 5 minutes of meeting you)
  • 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?
We are passionate and deliberate about hiring high performance individuals. This means our interview process is not for average people. After the 5 mile run, you will be given a cognitive test to ensure you can do complex quantum calculations in your head while doing pull ups. OK not really but our interview process is designed to find the people who will thrive here. It looks basically like the following:
  • 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 could have a small follow up for any clarifications.
On the whole, our interviews fly by and are more like conversations and celebrations of your biggest achievements but you will absolutely be challenged and evaluated. It won’t feel like a court trial but it will be thorough. This is your time to shine and be authentic and recognize we are looking for a fit for the company but the company must fit you also or this won’t work.

Salary Range
$140,000 - $170,000

About the job

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Job type

Full Time

Experience level

Senior

Salary

Salary: 140k-170k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Dynatron Software

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Dynatron Software hiring Lead Data Engineer • Remote (Work from Home) | Himalayas