Senior Consultant - Data Engineering​/Data Architect

Date

May 7, 2026

Phoenix, AZ;
Overland Park, KS;
Tampa, FL;
Houston, TX;
Charlotte, NC

Black & Veatch Family of Companies (Black & Veatch Corporation)

Provides technical, architectural, and project leadership across complex, multi‑phase digital and data‑centric client engagements.

Accountable for defining data and analytics architecture strategy, advising clients, leading delivery teams, and ensuring solutions align with client business objectives.

• Leads technical and architectural communication with clients and internal stakeholders, clearly articulating methodologies, rationale, trade‑offs, and outcomes at both technical and executive levels.
• Independently defines and evaluates technical and architectural approaches for complex problems, engaging subject matter experts strategically while retaining accountability for solution design.
• Leads the design and implementation of modern, enterprise‑scale data platforms and advanced analytics solutions.
• Supports and contributes to business development activities, including solution scoping, effort estimation, proposal development, and participation in client pursuit and strategy discussions.
• Serves as a trusted advisor to clients on data governance, security, compliance, and operating models, aligned with enterprise and regulatory requirements.
• Defines target‑state data architectures and leads delivery of scalable cloud‑based data warehousing and analytics solutions aligned with long‑term client strategies.
• Accountable for end‑to‑end delivery of complex digital and data consulting engagements, including scope definition, schedule, budget, risk management, quality assurance, and financial performance.
• Acts as the primary client interface for assigned engagements, translating business objectives into technical and architectural strategies, presenting recommendations to senior stakeholders, and guiding decision‑making.
• Defines and governs scalable data pipeline architectures and integration frameworks; provides hands‑on technical leadership and design oversight for ETL/ELT solutions using SQL, Python, and cloud‑native technologies.
• Oversees development of analytics applications, dashboards, and reporting solutions, ensuring technical quality and alignment with client decision‑making needs.
• Defines and enforces data quality, governance, and security frameworks across engagements; ensures consistent application of best practices and standards.
• Provides technical and professional mentorship to internal teams, contributes to practice standards and reusable assets, and demonstrates thought leadership in data architecture and engineering.

Individual Contributor

• Master’s degree in data science or engineering
• 10+ years of progressively responsible experience in data architecture, data engineering, analytics, or digital consulting, including leadership of complex client engagements.
• Familiarity with Infrastructure Design / Construction Projects
• Advanced proficiency in SQL and Python, with demonstrated ability to design, review, and guide complex data engineering solutions
• Expert‑level knowledge of SQL, data modeling, and data warehousing concepts
• Deep experience designing and governing enterprise‑scale ETL/ELT and data integration frameworks
• Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate)
• Demonstrated expertise in cloud‑native data platforms (Azure preferred; AWS/GCP acceptable), including architecture, security, and scalability considerations
• Experience leading cross‑functional delivery teams and managing project financial performance in a consulting environment.
• Strong executive‑level communication skills with experience presenting architecture, strategy, and recommendations to senior client stakeholders.
• Industry certifications strongly preferred (e.g., Azure/AWS Solutions Architect, PMP, SAFe, GISP, ESRI Technical Certifications).

• Bachelor's Degree or relevant work experience.
• 4+ years experience in a business/consulting environment.
• All applicants must be able to complete pre‑employment onboarding requirements (background…