Data Platform Engineer III

Job not on LinkedIn

🕒 May 20

🇺🇸 United States – Remote

💵 $135k - $160k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

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Finance of America

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💸 Finance

🏦 Banking

Finance • Banking

<Finance of America> Finance of America is a U. S. -based mortgage lender specializing in reverse mortgages and home equity solutions for older homeowners. The company offers proprietary and government-backed products (including HomeSafe and HECM), lines of credit and loans up to $4M, borrower education and calculators, and partner tools for financial professionals and wholesale partners. It is a licensed mortgage banker focused on helping homeowners (typically 55+) access home equity for retirement, home improvements, or living expenses while providing consumer protections and counseling.

📋 Description

• 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. • 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. • 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. • 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. • 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.

🎯 Requirements

• 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. • Bachelor's Degree or comparable qualifications in Computer Science, Engineering, or related field.

🏖️ Benefits

• health, dental, vision, life insurance • paid time-off benefits • flexible spending account • 401(k) with employer match • ESPP