Enterprise Data Architect – Data Engineering

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals.  

EisnerAmper is seeking an accomplished Enterprise Data Architect – Data Engineering leader to spearhead the strategic evolution of our enterprise data architecture. This pivotal role blends visionary data architecture leadership with deep technical expertise in data engineering, with a strong focus on modern data platforms, unstructured data acquisition, and enterprise-scale integration.

The ideal candidate will possess a robust architectural mindset and champion the design and governance of data solutions that power analytics, artificial intelligence (AI), and operational intelligence across the organization. This position requires a hands-on leader who thrives in complex enterprise environments and can balance strategic oversight with technical execution.

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry 

• You will have the flexibility to manage your days in support of our commitment to work/life balance 

• You will join a culture that has received multiple top “Places to Work” awards 

• We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions  

• We understand that embracing our differences is what unites us as a team and strengthens our foundation  

• Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work  

Enterprise Data Architecture & Strategy

• Define, evolve, and enforce a comprehensive enterprise data architecture that enables scalability, flexibility, and interoperability across cloud and on-premises systems.

• Architect solutions that integrate structured and unstructured data sources, including documents, logs, and notes, into a unified analytics ecosystem.

• Establish the architectural vision for data lakes, data warehouses, and real-time data ingestion pipelines, ensuring alignment with business and technology roadmaps.

• Provide strategic leadership in data governance transformation initiatives, enhancing data literacy, responsible data usage, and fostering an agile, collaborative team culture.  

Data Engineering

• Design of intelligent data pipelines that extract, normalize, and store data from disparate structured sources (e.g., ERP [SAP], CRM, COTS and custom applications) and unstructured sources (e.g., documents, text files, APIs, notes) leveraging tools such as Azure Data Factory, Dataflows Gen2, Lakehouse, Warehouse, and other Microsoft Fabric components for structured and unstructured data ingestion and enrichment and storage.

• Extensive experience transitioning ETL workflows to CI/CD-based ELT pipelines, significantly reducing operational costs and enhancing agility.  

Leadership & Stakeholder Collaboration

• Provide architectural directions to cross-functional data engineering teams and oversee execution across onsite and offshore units.

• Serve as a trusted advisor to business and technology executives, translating complex business needs into scalable data architectures.

Data Governance, Security & Compliance

• Define and promote enterprise-wide data governance policies, metadata standards, and lineage tracking for both structured and unstructured data assets. Assist in the definition of enterprise wide data security standards.

• Champion the adoption of data cataloging tools, automated classification systems, and lineage tracking solutions to support a governed and trusted data ecosystem.

• Architecture lead for enterprise-wide data governance frameworks, emphasizing GDPR, CPRA, CCPA compliance, and structured data classification standards to minimize regulatory risks.  

Analytics, AI & BI Enablement

• Architect environments that support advanced analytics, machine learning, and AI-driven insights—making both structured and unstructured data accessible, reliable, and actionable.

• Assist in evaluating new technologies and features for enterprise BI and promoting a self-service analytics culture.

• 15+ years of progressive experience in Data Engineering and Architecture, with deep technical expertise in the Microsoft data stack (SQL Server, SSIS, Power BI, SSRS, SSAS).

• 3+ years in an architectural leadership role guiding enterprise data strategy.

• Proven experience with cloud data platforms such as Azure Data Factory, Azure Synapse, and Azure Data Lake.

• Demonstrated success in architecting unstructured data ingestion pipelines using tools such as Azure Cognitive Services, Python, NLP, and big data technologies.

• Strong foundation in data modeling, dimensional modeling, and building scalable data integration frameworks.

• Master’s degree in computer science, Information Systems, or a related field.

• Experience working in regulated environments such as professional services, financial services, or audit.

• Certifications in cloud architecture or data management (e.g., Microsoft Certified Azure Architect, CDMP).

• Exposure to AI/ML data pipelines, real-time analytics, graph databases, and data mesh principles.

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

Technology is enhancing the ways we operate at every level of the firm, and the EisnerAmper Technology team is the driving force for that. Unlike your average IT team, you won’t find us simply administering technology, but serving as strategic advocates to deliver solutions that bring measurable, positive change for all our clients.   

Because we pivot fast and always embrace new perspectives, we’re creating a culture of technology across every department based on value and a true understanding of the business. By serving as partners to leaders throughout the organization, rather than as a resource, our Technology employees are accountable to each other and themselves to create a tangible impact based on results.   

The way we see it, there is always something new we can start, stop doing, or reimagine. With this mentality, we don't let perfection get in the way of innovation. If you have a theory, you’ll have the autonomy to innovate, iterate, and collaborate to see it through. Because to us, there are no bad ideas—only avenues for us to grow as a team and individuals.  

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. 

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. 

Should you need any accommodations to complete this application please email: [email protected] 

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