Partner with clients to understand business goals, requirements, and constraints, and translate them into scalable, secure data solutions.
Lead the design and optimization of end-to-end cloud data architectures, including data ingestion, storage, processing, modeling, and consumption.
Define data models (ex, Kimball, Data Vault), integration patterns, and design standards; create and maintain architectural assets such as diagrams, models, and data dictionaries.
Provide technical leadership to data engineering teams, including code and design reviews, best practices, and coaching.
Ensure data architecture accounts for governance, data quality, security, and compliance requirements.
Lead and participate in workshops, whiteboarding sessions, and executive presentations to drive alignment and decision-making.
Stay current on emerging data and cloud technologies and bring forward recommendations that add value to clients and our practice.
Support business and practice development through proposal support and offering development.
Partner with the account and sales teams to identify new business and support deal closure.
Lead technical pre-sales activities, including discovery sessions, solutioning, and estimates.
Represent the company in executive briefings, industry events, and create thought leadership content as needed.
Lead and mentor a team of data engineers by providing coaching, feedback, and growth opportunities, including performance reviews, staffing decisions, and career development planning.

Requirements

5-10 years of overall experience as a data architect and data engineer.
Experience designing solutions in Azure data technology services: Microsoft Fabric, Azure Data Lake, Azure Data Factory, Azure SQL DB
Experience designing and implementing enterprise-grade data solutions at a leading consulting firm, with experience supporting proposals and pre-sales activities.
Experience setting up and managing cloud-based data and analytics environments (development, test, production).
Deep knowledge of relational and transactional database theory.
Demonstrated ability to identify business and technical impacts of user requirements for project planning.
Demonstrated experience in Agile methodologies.
Ability to propose, design, and communicate complex architecture diagrams and data solutions to technical and non-technical stakeholders.
Experience leading whiteboarding workshops to drive requirements gathering with technical and business stakeholders.

Benefits

Performance-based bonuses
Other incentives

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdata ingestiondata processingdata storagedata consumptionAzure Data LakeAzure Data FactoryAzure SQL DBAgile methodologies

Soft Skills

technical leadershipcoachingcommunicationcollaborationproblem-solvingpresentation skillsmentoringbusiness acumendecision-makingrequirements gathering