Senior Data Engineering Consultant Job Orlando area,Florida USA,IT/Tech

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

Requirements

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

Core Competencies

Demonstrates expertise in designing and optimizing scalable data pipelines and architectures, with advanced SQL knowledge and experience in data modeling, including star and snowflake schemas. Proven ability to communicate technical concepts effectively to both technical and non-technical stakeholders while leading and mentoring data engineering teams.

Highest-signal resume keywords

Data Pipeline Development
SQL Proficiency
Data Modeling Expertise
Experience with Databricks
Cloud Services Knowledge

Hard Skills

SQL
Data Modeling
Data Pipeline Optimization
Root Cause Analysis
Data Transformation
Message Queuing
Stream Processing
Scala
Python
Java

Soft Skills

Analytical Skills
Communication Skills
Client-Facing Experience
Mentoring
Collaboration

Certifications & Qualifications

Graduate Degree in Computer Science
Graduate Degree in Statistics
Graduate Degree in Informatics
Graduate Degree in Information Systems

Industry Keywords

Data Engineering
Big Data
Data Analytics
Data Architecture
Data Solutions

Tools & Technologies

Databricks
Spark
Snowflake
Airflow
Kafka
Azure
AWS