Senior Data Solutions Lead

The Senior Data Solutions Lead is a strategic, hands-on leadership role responsible for driving the design, development, and implementation of enterprise-scale data architecture and solutions. This individual will serve as the primary technical authority for our data engineering initiatives, bridging the gap between complex business requirements and scalable technical deliverables. The ideal candidate will guide a team of data engineers and analysts, champion best practices in data governance, and ensure that our data infrastructure supports advanced analytics, reporting, and mission-critical applications., * Strategic Leadership: Define and execute the overarching data strategy, ensuring alignment with organizational goals and technology roadmaps.

• Architecture & Design: Architect scalable, secure, and highly available data platforms, including data lakes, data warehouses, and streaming data pipelines.
• Team Management & Mentorship: Lead, mentor, and grow a cross-functional team of data engineers, developers, and analysts to deliver high-quality data solutions.
• Stakeholder Collaboration: Partner with cross-functional business leaders, product managers, and external stakeholders to translate complex business needs into robust technical requirements.
• Data Governance & Security: Establish and enforce data quality standards, governance frameworks, and security protocols to protect sensitive information and ensure compliance with relevant regulations.
• Technology Evaluation: Continuously assess and recommend new data technologies, tools, and methodologies to optimize performance, reduce costs, and improve data accessibility.
• Project Delivery: Oversee the end-to-end lifecycle of data projects, ensuring on-time delivery within Agile frameworks.

• U.S. Citizen: Must be a US Citizen
• Suitability: Ability to obtain and maintain a DHS Public Trust suitability determination
• Experience: 10+ years of progressive experience in data engineering, data architecture, or related fields, with at least 3 years in a leadership or lead architect role.
• Cloud Platforms: Deep expertise in one or more major cloud service providers (AWS, Azure, or Google Cloud Platform) and their respective data ecosystems.
• Technical Proficiency: Expert-level knowledge of SQL and programming languages such as Python, Scala, or Java.
• Data Integration: Proven experience designing and building robust ETL/ELT pipelines using modern integration tools (e.g., Apache Airflow, dbt, Spark, Kafka).
• Data Modeling: Strong proficiency in relational and non-relational database design, dimensional modeling, and data warehousing concepts.
• Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Stakeholder Management: Ability to effectively communicate and share knowledge with contacts at all levels. Skilled in developing collaborative relationships.
• Team Management: Ability to manage multiple projects and priorities across multiple workstreams with tight deadlines in a fast-paced environment.