Head of Solution Architecture & Data Engineering
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Head of Solution Architecture & Data Engineering
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The Company
Blue Ops is a leading M&A consulting firm specializing in value creation, due diligence, and analytics. With a team of 80+ professionals across four offices, the firm supports 120+ deals annually, partnering with a select group of investment banks, private equity firms, and their portfolio companies.
The Company
Blue Ops is a leading M&A consulting firm specializing in value creation, due diligence, and analytics. With a team of 80+ professionals across four offices, the firm supports 120+ deals annually, partnering with a select group of investment banks, private equity firms, and their portfolio companies.
THE ROLE
We are seeking a Head of Solution Architecture & Data Engineering to be the primary Solution Architecture and Data Engineering Leader within Blue Ops. This leader-level role will have deep expertise in the Microsoft data and analytics ecosystem to lead technical strategy, mentor engineering teams, engage with clients, and support pre-sales activities. This role requires a blend of technical excellence, strategic vision, and consultative leadership to architect and deliver world-class solutions.
Key Responsibilities
The role’s core responsibilities fall into four main areas, each critical to the success of the position.
- Technical Strategy & Solution Architecture
- Define and lead the technical strategy for data and analytics solutions using the Microsoft tech stack (Azure Data Services, Fabric, Power BI, Databricks, Synapse etc.).
- Design and architect scalable, high-performance, and cost-effective data solutions for enterprise clients.
- Stay ahead of industry trends, advising internal teams and clients on best practices, emerging technologies, and architectural patterns.
- Leadership & Mentorship
- Provide technical leadership and mentorship to engineering teams, specifically for Blue Ops technical data analysts, ensuring best practices in software development, DevOps, and data engineering.
- Foster a culture of continuous learning and innovation, guiding engineers on complex technical challenges.
- Lead architecture reviews, design sessions, and technical governance for projects.
- Client Consulting & Delivery
- Act as a trusted advisor to clients, understanding their business challenges and translating them into robust technical solutions.
- Collaborate with stakeholders across EBM Software (sister company), IT, and business teams to align solutions with strategic objectives.
- Oversee the implementation of architectures, ensuring high-quality execution and delivery excellence.
- Pre-Sales & Business Development Support
- Partner with sales and business development teams to craft technical proposals, demos, and proof-of-concepts.
- Engage in client conversations to understand needs, propose solutions, and contribute to RFP responses and proposals.
- Represent the company at industry events, conferences, and technical meetups to showcase expertise.
- Perform scoping and work effort estimation for proposed client engagements.
- 10+ years of experience in data engineering, analytics, or solution architecture with a focus on Microsoft technologies.
- Deep expertise in Azure Data Services (Data Factory, Synapse, Data Lake, SQL, Databricks, etc.).
- Strong experience with Power BI, data modeling, Python, and visualization best practices.
- Proficiency in cloud architecture, DevOps, CI/CD, and infrastructure-as-code (Terraform, ARM, Bicep).
- Experience and knowledge of AI/ML, Data Governance, and Security in an enterprise setting is a plus.
- Solid business acumen.
- Exceptional consulting, communication, and stakeholder management skills.
- Proven track record in leading technical teams and mentoring technical resources.
- Demonstrated success operating in cross-functional environments spanning engineering, product, delivery, and sales.
- Experience in pre-sales activities, proposal writing, and client presentations.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Capital Markets
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