Company Name: R Systems
Job Title: Databricks Lead Data Engineer
Job Description:
R Systems is seeking a Databricks Lead Data Engineer to spearhead our data engineering initiatives. In this role, you will lead solution architecture efforts and drive modernization programs to enhance our data capabilities. Your leadership will be critical in establishing governance frameworks that ensure the integrity and quality of our data solutions. You will also play a key role in presales activities, providing estimations and technical delivery support to meet client needs. The ideal candidate will possess strong technical skills and experience with data engineering best practices, as well as the ability to collaborate effectively with cross-functional teams.
Responsibilities:
- Lead solution architecture for data engineering projects using Databricks.
- Drive modernization programs to improve data processing and analytics capabilities.
- Establish and manage governance frameworks to ensure data quality and compliance.
- Participate in presales activities, including providing technical expertise and estimations.
- Deliver technical solutions in a timely and efficient manner, ensuring alignment with client requirements.
- Collaborate with data scientists, analysts, and other engineers to create scalable data solutions.
- Mentor and guide junior data engineers to enhance the team’s overall skill set.
Skills and Tools Required:
- Extensive experience with Databricks and Apache Spark.
- Strong proficiency in SQL and data modeling.
- Knowledge of data warehousing concepts and tools.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with ETL processes and tools.
- Understanding of data governance and data quality frameworks.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to lead and manage multiple projects simultaneously.
- Experience with programming languages such as Python or Scala is a plus.About the Role:
As a Databricks Lead Data Engineer at R Systems, you will spearhead the design and implementation of advanced data solutions leveraging Databricks. You will be involved in both technical and strategic aspects of data engineering, ensuring that projects align with the organization’s overall goals. Your leadership will shape modernization initiatives while fostering a culture of innovation and collaboration.
About the Team:
You will join a dedicated team of data professionals including data scientists, data engineers, and analysts. This diverse team collaborates closely, sharing knowledge and best practices to drive successful outcomes. The team values continuous learning and improvement, encouraging members to contribute ideas that enhance our data processes and solutions.
You are Responsible for:
Leading the solution architecture for data projects on the Databricks platform.
Overseeing modernization programs to upgrade and optimize existing data infrastructures.
Establishing governance frameworks to ensure data quality, compliance, and security.
Conducting presales activities, including estimations and technical presentations to clients.
Delivering high-quality technical solutions while managing project timelines and resources effectively.
To succeed in this role – you should have the following:
Extensive experience in data engineering, particularly with Databricks and cloud technologies.
Strong understanding of data architecture principles and modernization strategies.
Proven track record in governance frameworks and best practices for data management.
Excellent communication and stakeholder management skills, with experience in presales environments.
Ability to lead and mentor a team, fostering collaboration and innovation.
A problem-solving mindset, ready to tackle complex technical challenges.
Job Title: Databricks Lead Data Engineer
Job Description:
R Systems is seeking a Databricks Lead Data Engineer to spearhead our data engineering initiatives. In this role, you will lead solution architecture efforts and drive modernization programs to enhance our data capabilities. Your leadership will be critical in establishing governance frameworks that ensure the integrity and quality of our data solutions. You will also play a key role in presales activities, providing estimations and technical delivery support to meet client needs. The ideal candidate will possess strong technical skills and experience with data engineering best practices, as well as the ability to collaborate effectively with cross-functional teams.
Responsibilities:
- Lead solution architecture for data engineering projects using Databricks.
- Drive modernization programs to improve data processing and analytics capabilities.
- Establish and manage governance frameworks to ensure data quality and compliance.
- Participate in presales activities, including providing technical expertise and estimations.
- Deliver technical solutions in a timely and efficient manner, ensuring alignment with client requirements.
- Collaborate with data scientists, analysts, and other engineers to create scalable data solutions.
- Mentor and guide junior data engineers to enhance the team’s overall skill set.
Skills and Tools Required:
- Extensive experience with Databricks and Apache Spark.
- Strong proficiency in SQL and data modeling.
- Knowledge of data warehousing concepts and tools.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with ETL processes and tools.
- Understanding of data governance and data quality frameworks.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to lead and manage multiple projects simultaneously.
- Experience with programming languages such as Python or Scala is a plus.About the Role:
As a Databricks Lead Data Engineer at R Systems, you will spearhead the design and implementation of advanced data solutions leveraging Databricks. You will be involved in both technical and strategic aspects of data engineering, ensuring that projects align with the organization’s overall goals. Your leadership will shape modernization initiatives while fostering a culture of innovation and collaboration.
About the Team:
You will join a dedicated team of data professionals including data scientists, data engineers, and analysts. This diverse team collaborates closely, sharing knowledge and best practices to drive successful outcomes. The team values continuous learning and improvement, encouraging members to contribute ideas that enhance our data processes and solutions.
You are Responsible for:
Leading the solution architecture for data projects on the Databricks platform.
Overseeing modernization programs to upgrade and optimize existing data infrastructures.
Establishing governance frameworks to ensure data quality, compliance, and security.
Conducting presales activities, including estimations and technical presentations to clients.
Delivering high-quality technical solutions while managing project timelines and resources effectively.
To succeed in this role – you should have the following:
Extensive experience in data engineering, particularly with Databricks and cloud technologies.
Strong understanding of data architecture principles and modernization strategies.
Proven track record in governance frameworks and best practices for data management.
Excellent communication and stakeholder management skills, with experience in presales environments.
Ability to lead and mentor a team, fostering collaboration and innovation.
A problem-solving mindset, ready to tackle complex technical challenges.