Data Engineer Senior Consultant

Overview

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Senior Data Engineer, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients  most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

As a Data Engineer Senior Consultant at Clarkston, you will:

• Support our solution architects, software developers, data analysts, and data scientists on data and analytics initiatives
• Serve in a lead capacity on client initiatives
• Ensure optimal data delivery architecture is consistent throughout ongoing projects
• Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
• Be excited by the prospect of building our company’s data engineering capabilities to support our next generation of products and data initiatives
• Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
• Assist in defining client solutions and support managing their delivery

Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

• Have the support and mentorship of your Clarkston colleagues and leaders
• Expand your existing skill set with internal and external professional development opportunities

What We’re Looking For:

An ideal Data Engineer Senior Consultant candidate will have experience:

• Assembling large, complex data sets that meet functional / non-functional business requirements
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Working with stakeholders - including the Product, Data, and Design teams - to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications:

• Hands-on experience designing, developing, and optimizing data solutions using Microsoft Fabric
• 5+ years of experience in a Data Engineer role

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Knowledge of build processes that support data transformation, data structures, metadata, dependency, and workload management
• Successful history of manipulating, processing and extracting value from large, disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Skilled in project management, including managing project plans, timelines, and deliverables
• Experience supporting and working with cross-functional teams in a dynamic environment
• Demonstrated ability with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka
• Expertise with Azure or AWS cloud services
• Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field