Enterprise Data Architect – Data Engineering

Job Description

At EisnerAmper we look for individuals who welcome new ideas encourage innovation and are eager to make an impact. Whether youre 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 youll 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 accomplishedEnterprise Data Architect Data Engineeringleader 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 onmodern data platformsunstructured data acquisition andenterprise-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.

What it Means to Work for EisnerAmper:

• 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

What Work You Will Be Responsible For:

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 asAzure Data FactoryDataflows Gen2LakehouseWarehouse and otherMicrosoft Fabric componentsfor 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 insightsmaking 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.

Basic Qualification:

• 15 years of progressive experience inData Engineering and Architecture with deep technical expertise in theMicrosoft data stack(SQL Server SSIS Power BI SSRS SSAS).

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

Preferred/ Desired Qualifications

• Proven experience with cloud data platforms such asAzure Data FactoryAzure Synapse andAzure Data Lake.

• Demonstrated success in architectingunstructured data ingestion pipelinesusing tools such asAzure Cognitive ServicesPythonNLP and big data technologies.

• Strong foundation indata modelingdimensional modeling and building scalable data integration frameworks.

• Masters degree incomputer scienceInformation Systems or a related field.

• Experience working inregulated environmentssuch as professional services financial services or audit.

• Certifications in cloud architecture or data management ( Certified Azure ArchitectCDMP).

• Exposure toAI/ML data pipelinesreal-time analyticsgraph databases anddata meshprinciples.

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

About our Technology Team:

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 wont 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 were 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 dont let perfection get in the way of innovation. If you have a theory youll have the autonomy to innovate iterate and collaborate to see it through. Because to us there are no bad ideasonly avenues for us to grow as a team and individuals.

About EisnerAmper:

EisnerAmper is one of the largest accounting tax and business advisory firms with approximately 450 partners and 4500 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.

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