Senior Data Engineering Lead - Pipelines, Modeling, Cloud

Jobtailor; Orlando (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking a Senior Data Engineer to design and optimize scalable data pipelines and architectures for diverse analytics initiatives. You will model data for analytics, translate business needs into technical solutions, and communicate complex concepts to both technical and non-technical stakeholders.

The role requires mentoring responsibilities, cross-functional collaboration, and 30–50% travel. Expect to drive data transformation, governance, and delivery across multiple teams and

Qualifications

• 3+ years of experience in a Data Engineer or related data-focused role.
• Advanced working SQL knowledge and experience with relational databases and query authoring.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Experience with data modeling and schema design, including star and snowflake schemas.
• Experience performing root cause analysis on internal and external data and processes.
• Strong analytical skills with structured and unstructured datasets.
• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience manipulating, processing, and extracting value from large and disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data stores.
• Experience supporting cross-functional teams in a dynamic environment.
• Experience with Databricks, Spark, Snowflake, Airflow, and Kafka.
• Experience with Azure or AWS cloud services.
• Experience with Scala, Python, Java, and/or C++.
• Strong written and verbal communication skills for technical and business audiences.
• Demonstrated consulting and client-facing experience.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or an equivalent field.

Responsibilities

• Support solution architects, software developers, data analysts, and data scientists on data and analytics initiatives.
• Lead client initiatives and collaborate with stakeholders and technical teams to define and deliver data solutions.
• Design, develop, and optimize scalable data pipelines and architectures.
• Develop and maintain data models and schemas for analytics and reporting, including star and snowflake schemas.
• Translate business requirements into technical data solutions.
• Communicate technical concepts to technical and non-technical client stakeholders.
• Ensure consistent and optimal data delivery architecture throughout projects.
• Support data needs across multiple teams, systems, and products.
• Improve data processes, scalability, performance, reliability, and automation.
• Lead, grow, and mentor data engineering teams.
• Define client solutions, estimate work, support proposals, and manage solution delivery.
• Contribute to project planning, status communication, and consulting activities.
• Travel an estimated 30–50% based on client and project needs

Skills

Advanced SQL

Analytical skills

Client-facing experience

Mentoring

Communication skills

Education

Graduate Degree in Computer Science

Graduate Degree in Statistics

Graduate Degree in Informatics

Graduate Degree in Information Systems

Tools

Databricks

Spark

Snowflake

Airflow

Kafka

Azure

AWS

Scala

Python

Java

C++

Job description

Jobtailor is seeking a Senior Data Engineer to design and optimize scalable data pipelines and architectures for diverse analytics initiatives. You will model data for analytics, translate business needs into technical solutions, and communicate complex concepts to both technical and non-technical stakeholders.

The role requires mentoring responsibilities, cross-functional collaboration, and 30–50% travel. Expect to drive data transformation, governance, and delivery across multiple teams and