Data Architect / Senior Data Engineer Location: Fully remote - NO C2C for this position Overview: We’re seeking an experienced Data Architect / Senior Data Engineer to help design and implement robust data solutions that support business goals and enable informed decision-making. This role requires both strategic architectural insight and hands-on engineering skills to develop scalable data systems on cloud platforms. You’ll work closely with cross-functional teams to ensure data quality, drive solutioning efforts, and support enterprise data initiatives. Key Responsibilities: • Design and implement end-to-end data architecture and data flows aligned with business and technical requirements • Build and optimize data warehouses and data pipelines, particularly in BigQuery (GCP preferred) • Process and manipulate large, complex datasets using advanced SQL • Review, troubleshoot, and optimize data code for accuracy and performance • Create proofs of concept (POC) to validate architectural approaches and data solutions • Collaborate with business stakeholders and technical teams to define data strategies and drive adoption • Work within Agile development frameworks and contribute to sprint planning and delivery • Use tools such as Airflow for orchestration and automation of data workflows Required Qualifications: • 10–12+ years of experience in data engineering, architecture, or solutioning roles • Strong hands-on experience with SQL, data warehouse development, and cloud platforms • Advanced SQL proficiency for processing large datasets and data troubleshooting • Experience with BigQuery and the Google Cloud Platform (GCP) is strongly preferred • Will also consider candidates with AWS or Azure experience if other qualifications align • Strong knowledge of Airflow, SQL Server, and enterprise data warehousing practices • Proven experience reviewing and debugging data code • Excellent communication skills – able to engage with both technical and business stakeholders • Experience working in an Agile environment Preferred Qualifications: • Background in healthcare or provider data systems • Experience building and validating architectural proofs of concept