We are seeking an experienced Data/Solutions Architect with 12+ years of overall IT/data experience to lead the design and execution of legacy-to-cloud data migration initiatives for our client. The ideal candidate will bring deep expertise in modernizing legacy SAS/Alteryx/SQL-based data pipelines into Python/PySpark-based cloud architectures, along with strong experience in building enterprise-grade semantic layers and data models. Hands-on knowledge of Microsoft Fabric is a mandatory requirement for this role.
Base Compensation Range: 140,000 - 180,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
ResponsibilitiesKey Responsibilities
• Architect and lead legacy-to-cloud migration strategies, converting SAS, Alteryx, and SQL-based workflows into modern Python/PySpark pipelines
• Design scalable, enterprise-level data models and semantic layers to support analytics, reporting, and BI consumption
• Define and implement data architecture standards, patterns, and best practices across the migration lifecycle
• Collaborate with business, data engineering, and BI teams to translate legacy logic into cloud-native, maintainable code
• Lead solution design within Microsoft Fabric (Lakehouse, Data Pipelines, OneLake, Power BI integration, etc.)
• Conduct architecture reviews, identify technical risks, and define mitigation/migration roadmaps
• Provide technical leadership and mentorship to data engineering teams during migration execution
• Partner with stakeholders to ensure data governance, security, and performance standards are met throughout the migration
Required Skills & Experience
- 12+ years of experience in data engineering/architecture roles, with at least 5+ years in a Data/Solutions Architect capacity
- Proven experience leading legacy-to-cloud architecture migration initiatives end-to-end
- Hands-on expertise translating SAS, Alteryx, and SQL logic into Python and PySpark
- Strong experience designing semantic layers and enterprise data models (dimensional modeling, star/snowflake schemas, etc.)
- Mandatory: Working knowledge of Microsoft Fabric (Lakehouse, OneLake, Data Factory/Pipelines, Fabric-based analytics)
- Solid understanding of cloud data platforms (Azure preferred, given Fabric alignment)
- Experience with data pipeline orchestration, ETL/ELT design, and performance optimization at scale
- Strong stakeholder management and ability to communicate complex architecture decisions to both technical and business audiences
- Prior experience in large-scale enterprise data modernization programs is highly preferred
Nice to Have
- Certifications in Azure Data/AI or Microsoft Fabric
- Experience with Power BI or other enterprise BI/reporting tools
- Exposure to data governance frameworks and metadata management tools
Location
East Coast, USA (Onshore – flexible/remote within East Coast time zones)
Qualifications
Bachelor's/Master's in Engineering 8+ years
Skills Required
- 12+ years of experience in data engineering/architecture roles
- 5+ years in a Data/Solutions Architect capacity
- Proven experience leading legacy-to-cloud architecture migration initiatives end-to-end
- Hands-on expertise translating SAS, Alteryx, and SQL logic into Python and PySpark
- Working knowledge of Microsoft Fabric (Lakehouse, OneLake, Data Factory/Pipelines, Fabric-based analytics)
- Strong experience designing semantic layers and enterprise data models (dimensional modeling, star/snowflake schemas)
- Solid understanding of cloud data platforms
- Azure experience (preferred)
- Experience with data pipeline orchestration, ETL/ELT design, and performance optimization at scale
- Strong stakeholder management and ability to communicate complex architecture decisions
- Prior experience in large-scale enterprise data modernization programs
- Certifications in Azure Data/AI or Microsoft Fabric
- Experience with Power BI or other enterprise BI/reporting tools
- Exposure to data governance frameworks and metadata management tools
- Bachelor's or Master's degree in Engineering
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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