Data Platform Engineer III

About Us

Finance of America helps homeowners 55+ access the equity they’ve built while staying in full control of their home and their financial future. Through a range of reverse mortgage solutions, we help customers shape the retirement they’ve earned while continuing to evolve how we serve and work together.

Joining Finance of America now means stepping into a period of momentum and growth, with teams actively shaping what comes next and opportunities to make an impact and grow your career.

To learn more about us, visit www.financeofamerica.com

Purpose of Role

Responsible for designing, developing, implementing, and supporting scalable cloud-based data platforms, pipelines, integrations, and lakehouse solutions that enable enterprise reporting, analytics, operational insights, and AI-driven initiatives. Extracts, transforms, and optimizes data from complex and diverse data sources while ensuring reliability, performance, governance, and operational efficiency across the enterprise data ecosystem.

Key Responsibilities and Expectations

• Designs and develops data pipelines to ingest, transform, and load data from various sources into the data ecosystem.

• Designs, develops, and maintains scalable, secure, and reliable enterprise data platforms, pipelines, integrations, and cloud-native data solutions. 

• Designs and develops data pipelines to ingest, transform, validate, and load structured and unstructured data into enterprise lakehouse and warehouse environments. 

• Implements and supports modern data platform architectures including medallion, lakehouse, dimensional, and semantic modeling patterns. 

• Develops and maintains notebooks, data engineering frameworks, orchestration solutions, and reusable components using SQL, Python, PySpark, and cloud-native technologies. 

• Supports Microsoft Fabric environments including Lakehouse, Warehouse, Data Pipelines, Notebooks, OneLake, semantic models, and Power BI integration. 

• Supports enterprise Power BI solutions including gateways, refresh optimization, data connectivity, semantic models, and performance tuning. 

• Designs and implements integration patterns including APIs, event-driven integrations, cloud-native integrations, and file-based data movement processes. 

• Creates and maintains monitoring, logging, alerting, observability, and operational reporting frameworks to ensure platform reliability and SLA adherence. 

• Supports cloud infrastructure and modernization initiatives across Azure, AWS, Microsoft Fabric, and related cloud services. 

• Monitors platform health, compute utilization, refresh performance, storage efficiency, reliability, and operational metrics across data environments. 

• Supports AI, machine learning, predictive analytics, and enterprise reporting initiatives through the delivery of trusted, governed, and optimized datasets. 

• Collaborates with Analytics Engineers, Data Owners, Infrastructure teams, Security teams, and business stakeholders to understand requirements and improve platform efficiencies through automation and optimization. 

• Troubleshoots and resolves pipeline, infrastructure, integration, data quality, and performance issues across enterprise data platforms. 

• Contributes to platform standards, governance practices, documentation, and operational procedures. 

• Implements and supports CI/CD processes, source control standards, deployment automation, and environment management practices. 

• Researches emerging technologies, tools, and industry trends to recommend improvements to the enterprise data platform ecosystem. 

• Provides mentorship and technical guidance to junior engineers and team members. 

• Maintains a customer-first mentality while collaborating with stakeholders, leadership, and engineering teams. 

• Performs other duties as assigned.

Reports To

Data Operations Tech Lead

Qualifications

Qualifications - Experience/Skills/Competencies

• Minimum 7 years of related experience designing, developing, and supporting enterprise data warehouses, lakehouses, or modern cloud-based data platforms, preferably within the financial services industry. 

• Minimum 7 years of experience developing and supporting cloud-based data integration solutions such as Azure Data Factory, Microsoft Fabric Data Pipelines, Synapse Pipelines, or equivalent technologies. 

• Strong hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Data Pipelines, Notebooks, OneLake, semantic models, and Power BI integration. 

• Experience implementing medallion architecture and modern lakehouse design patterns. 

• Strong experience with SQL, Python, PySpark, notebooks, and distributed data processing technologies. 

• Experience with Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Functions, Logic Apps, Azure Key Vault, and Azure Monitor. 

• Experience with AWS services such as Amazon S3, AWS Lambda, Amazon RDS, CloudWatch, EC2, and IAM. 

• Strong understanding of dimensional modeling, semantic modeling, star schemas, data warehousing concepts, and lakehouse architecture principles. 

• Experience developing scalable ETL/ELT pipelines, orchestration frameworks, and reusable data engineering solutions. 

• Experience supporting Power BI environments including gateways, semantic models, refresh optimization, Direct Lake, and enterprise reporting integrations. 

• Understanding of data governance, data lineage, metadata management, data security, and cloud platform best practices. 

• Experience implementing monitoring, logging, observability, and operational reporting solutions for enterprise data platforms. 

• Understanding of cloud infrastructure, networking, identity and access management, security controls, and cost optimization principles. 

• Experience supporting AI, machine learning, generative AI, or advanced analytics initiatives through the delivery of trusted datasets. 

• Strong analytical thinking, troubleshooting, and problem-solving skills. 

• Experience working within Agile delivery environments. 

• Ability to manage multiple concurrent priorities and deliver high-quality solutions. 

• Strong verbal, written, and interpersonal communication skills. 

• Demonstrated ability to mentor junior engineers and collaborate effectively across technical and business teams.

Qualifications - Education - Required

Bachelor's Degree or comparable qualifications

Qualifications - Education - Field(s)/Profession(s)

Computer Science, Engineering, or related field.

Compensation

The base salary range for this position is ($135,000 - $160,000) inclusive of all geographical differences in the labor market. The base salary for the position will be determined based on factors such as the candidate’s work location, skills, education, and experience. In addition to those factors, we believe in the importance of pay equity and consider the internal equity of our current team members in determining any final offer. We offer a competitive benefits package including health, dental, vision, life insurance, paid time-off benefits, flexible spending account, 401(k) with employer match, and ESPP.

Additional Information

The application deadline for this job opportunity is 7/20/2026.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. 

Finance of America is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex (including pregnancy), sexual orientation, religion, creed, age, national origin, physical or mental disability, gender identity and/or expression, marital status, veteran status or other characteristics protected by law.

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