Team Lead Cloud Architect, Data Analytics / BI

Position Title: Cloud Architect – Data Analytics / Business Intelligence Location: Remote Clearance Requirements: None Position Status: 4-year contract that will likely extend. Pay Rate: $65 - $70 per hour Position Description We are seeking an experienced Team Lead Cloud Architect – Data Analytics / Business Intelligence to lead the architecture, design, development, and implementation of scalable, secure, and high-performance cloud-based data and analytics solutions. This is a highly technical leadership role for an architect who can operate across cloud architecture, data engineering, data warehousing, business intelligence, and enterprise data platforms while providing hands-on technical direction to multidisciplinary teams. The successful candidate will help shape modern data architecture and technical roadmaps that enable operational reporting, advanced analytics, business intelligence, and data-driven decision-making. You will work closely with business stakeholders, enterprise architects, project managers, and IT leadership to translate business requirements into practical, scalable technology solutions. You will also provide technical leadership to Data Engineers, BI Developers, Data Analysts, and QA/QC professionals, establish development standards, review technical designs, mentor team members, and drive successful delivery of complex cloud data initiatives. Key Responsibilities Cloud & Data Architecture Lead the architecture, design, development, and implementation of enterprise-scale cloud data and analytics platforms.Translate business and technical requirements into secure, scalable, reliable, and cost-effective solution architectures.Develop and maintain technical roadmaps aligned with enterprise data, analytics, and technology strategies.Evaluate cloud technologies, architectural patterns, and platforms to support evolving business and data requirements.Ensure solutions adhere to enterprise standards for security, performance, scalability, availability, reliability, and cloud cost optimization. Data Engineering & Analytics Provide technical oversight for data engineering, data integration, ETL/ELT, data warehousing, data lakes, and lakehouse architectures.Guide the development of scalable data pipelines and enterprise data models.Support the delivery of business intelligence, operational reporting, dashboards, and advanced analytics capabilities.Resolve complex technical challenges involving data integration, architecture, performance, scalability, and analytics delivery.Promote best practices for data quality, data governance, metadata, lineage, and data security. Technical Leadership Provide hands-on technical leadership to multidisciplinary teams of Data Engineers, BI Developers, Data Analysts, and QA/QC specialists.Review architecture and technical designs and provide guidance throughout implementation.Establish development standards, coding practices, documentation standards, and engineering best practices.Mentor technical team members and support their professional development.Coordinate technical priorities across multiple workstreams and ensure successful delivery of cloud data initiatives. Business & Stakeholder Collaboration Partner with business stakeholders, enterprise architects, project managers, and IT leadership to understand business objectives and translate them into technology solutions.Communicate complex technical concepts effectively to both technical and non-technical stakeholders.Support project planning, technical estimation, prioritization, risk identification, and issue resolution.Drive alignment between business requirements, enterprise architecture, and technical implementation. Modernization & Continuous Improvement Contribute to cloud migration, data modernization, enterprise BI transformation, and analytics platform modernization initiatives.Identify opportunities to improve data platform performance, scalability, reliability, automation, and cost efficiency.Stay current with emerging cloud, data engineering, analytics, and AI/ML technologies and evaluate their potential enterprise applications. Required Skills/Education Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field; equivalent professional experience may be considered.8+ years of IT experience with significant experience in cloud architecture, data engineering, enterprise data platforms, analytics, or related technical disciplines.Proven experience designing and implementing cloud-based data analytics and business intelligence solutions.Demonstrated experience providing technical leadership, mentoring engineers, reviewing architecture/designs, and coordinating multidisciplinary teams.Strong hands-on experience with at least one major cloud platform:Microsoft AzureAmazon Web Services (AWS)Google Cloud Platform (GCP)Strong understanding of data warehousing, data lakes, lakehouse architecture, ETL/ELT, data integration, and enterprise data platforms.Strong SQL skills with experience in data modeling, dimensional modeling, and analytical data structures.Experience with modern cloud data and analytics technologies such as Azure Data Factory, Microsoft Fabric, Azure Databricks, Snowflake, Amazon Redshift, or Google BigQuery.Experience with enterprise Business Intelligence (BI) platforms, preferably Microsoft Power BI and/or Tableau.Understanding of data governance, data quality, data security, identity and access management (IAM), and cloud cost optimization.Experience with Python, PySpark, Apache Spark, or similar data processing technologies.Experience working within Agile/Scrum environments, with knowledge of source control, CI/CD, DevOps practices, and technical documentation.Strong architecture, analytical, problem-solving, communication, collaboration, organizational, and leadership skills. Preferred / Desired Qualifications Master’s degree in Computer Science, Information Systems, Data Analytics, or a related discipline.Cloud architecture certification such as Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, or Google Cloud Professional Cloud Architect.Data and analytics certifications in areas such as Microsoft Fabric, Azure Data Engineering, Databricks, Snowflake, or Power BI.Experience leading enterprise cloud migration, data modernization, or BI transformation programs.Knowledge of real-time data processing, event-driven architecture, streaming technologies, and distributed data processing.Experience with Infrastructure as Code (IaC), automated deployments, DevOps, and platform engineering.Experience implementing enterprise data governance, metadata management, data lineage, and master data management (MDM).Familiarity with AI/ML platform architecture, advanced analytics, and data infrastructure supporting Generative AI solutions.Experience working within large, complex, enterprise-scale, multi-team environments. About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.