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As a Senior Data Engineering Consultant, you will play a key role in designing, developing, and delivering modern data solutions that drive business insight and innovation. You’ll implement scalable, high-performing cloud architectures that support analytics, AI, and operational excellence. This role requires strong hands-on expertise in Databricks, Fabric, and Azure data services, along with the ability to translate complex technical concepts into clear, actionable recommendations for business and technical stakeholders alike. You’ll be responsible for technical delivery, authoring solution documentation, and ensuring data pipelines and models meet enterprise standards for performance, reliability, and cost efficiency. The ideal candidate combines deep technical acumen with a consulting mindset — results-oriented, curious, adaptable, and driven to deliver meaningful outcomes for clients.
Job Responsibility:
Technical delivery in both Agile and Waterfall methodologies
Leverage advanced database systems including data warehouses, data marts, and models needed for business, financial and operational analysis and/or reporting
Develop high performing, reliable and scalable solutions
Conduct data profiling, quality checks, and performance tuning for reliability and efficiency
Ability to clearly communicate technical details to business and management personnel
Perform data analysis that will support and enhance Information Management systems
Author, oversee and gain approval of design documents for projects assigned
Work independently or as part of a team to design and develop solutions
Provide meaningful feedback and coaching of other team members to successfully overcome technological challenges
Expand your knowledge in multiple tools and technologies
Requirements:
Bachelor’s or Master’s Degree desired in Computer Science, Information Technology, or related field or equivalent experience
Minimum of 3 years of experience implementing cloud data solutions, preferably on Azure
Expertise delivering cloud-based data solutions using Databricks and/or Fabric
Proven ability to implement modern data architectures (data lakes, data warehouses, lakehouses)
Proficiency in Python, PySpark, SQL, and data engineering frameworks
Experience using AI tools to enhance and expedite delivery
Experience optimizing data pipelines and queries for performance and cost
Demonstrated ability to work independently and collaboratively in Agile or Waterfall settings
Excellent verbal and written communication
able to simplify complex concepts for business stakeholders
Nice to have:
You’re results oriented and have a reputation for getting things done
You have a growth mindset and have a deep desire to continue to improve your skills
You’re comfortable in fast paced environments
You have a strong sense of responsibility for a project’s success
What we offer:
Flexible work location with a virtual first approach to work
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options to allow you the choice to elect what works best for you
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role
Employee Assistance Program to help with everyday challenges
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