Role Description A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. - Develop enterprise data governance strategies and implementation roadmaps. - Establish data quality, metadata, master data, and data stewardship frameworks. - Define enterprise reporting and analytics strategies aligned with organizational objectives. - Collaborate with stakeholders to identify strategic data requirements. - Develop policies for data management, security, accessibility, and lifecycle management. - Support implementation of enterprise data governance tools and best practices. - Analyze current data architecture and recommend modernization initiatives. - Develop executive dashboards and performance measurement strategies. - Facilitate data governance working groups and stakeholder workshops. - Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities. - Monitor data quality metrics and recommend corrective actions. - Support strategic planning and decision-making through data-driven insights. Qualifications - Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline. - Minimum ten (10) years of experience in enterprise data management or analytics. - Demonstrated experience implementing data governance frameworks. - Experience developing enterprise data strategies and roadmaps. - Knowledge of data architecture, metadata management, and data quality principles. - Strong analytical, facilitation, and communication skills. - Ability to obtain and maintain DHS Public Trust suitability. Requirements - Master's degree in Data Science, Analytics, Information Management, or related discipline (preferred). - Experience supporting Federal healthcare organizations (preferred). - Familiarity with DAMA-DMBOK or DCAM frameworks (preferred). Compensation Expected Salary Range: $115,000–$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding. This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements. Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process. For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call. Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

Role Description We’re looking for a Vice President, Data to build, lead, and grow R&P’s data practice from the ground up. This is an important role at Robots & Pencils, a player-coach position that demands equal parts technical depth, business ownership, and leadership. You will establish R&P as a go-to partner for: - Data strategy - Modern data architecture - AI-ready platforms - Business intelligence - Data engineering You will own the practice as a true business, with full accountability for: - Revenue - Profitability - Client outcomes - Team development You’ll report to the Global Head of Delivery and be part of the Senior Leadership team. Qualifications - 10+ years of progressive experience in data and analytics - At least 3 years at director, principal, or practice-lead level within a professional services or technology consulting business - Demonstrated track record of building or scaling a data practice or service line - Proven experience solutioning and delivering complex data engagements - Deep expertise in Databricks, Snowflake, and/or AWS (Redshift/S3) - Comprehensive command of the data ecosystem - Expertise across the full data value chain - Strong executive presence - History of developing and mentoring high-performing technical teams Requirements - Act as the senior data authority in front of client CTOs, CIOs, and heads of data - Develop strategic views on where the data market is headed - Champion internal and external thought leadership - Develop best-in-class solutions architecture recommendations - Contribute to R&P's AI software development lifecycle - Build and lead a high-performing team of data consultants, engineers, BI leads, and data scientists - Set the technical standards, career architecture, and development pathways for data practitioners - Cultivate a collaborative, inclusive practice culture - Build the data practice into a $5m revenue practice in the first twelve months - Set a clear vision for the practice and communicate it compellingly - Define service lines, target industries, pricing logic, and operating model - Partner with the sales organization and client teams - Lead and support presales solutioning and scoping engagements - Lead the firm’s Databricks relationship and adjacent data partnerships Benefits - Comprehensive package of benefits including a bonus program - Paid time off - Medical/dental/vision insurance - 401(k) to eligible employees

• Develop and maintain scalable data pipelines to support business requirements. • Collaborate with cross-functional teams to gather and analyze data requirements. • Implement data integration solutions using ETL tools and technologies. • Optimize and improve data processing workflows to enhance performance. • Ensure data quality and integrity through rigorous testing and validation.

Role Description Como Senior Data Engineer, você atuará na evolução da nossa plataforma de dados, desenvolvendo soluções escaláveis em um ambiente de alta volumetria e colaborando com diferentes times para transformar dados em valor para o negócio. O seu dia a dia no Skeelo vai ser assim: - Desenvolver e evoluir pipelines de ETL para ingestão, transformação e disponibilização de dados. - Construir integrações entre diferentes fontes de dados, garantindo qualidade, performance e padronização. - Desenvolver soluções em Python e Spark, atuando na cloud da AWS sob a plataforma Databricks. - Monitorar e evoluir pipelines em produção, garantindo confiabilidade e eficiência dos processos. - Trabalhar em conjunto com os times de Analytics, Produto e Engenharia para atender novas demandas de dados. - Garantir que os dados estejam disponíveis com alta qualidade e baixa latência para consumo das áreas da empresa. - Contribuir com melhorias na arquitetura, nas boas práticas e na evolução contínua da engenharia de dados. Qualifications - Experiência sólida como Data Engineer, desenvolvendo e sustentando pipelines de dados em produção. - Experiência com AWS, Python, Databricks e processos de ETL batch e streaming. - Conhecimento em bancos de dados relacionais e não relacionais, além de ferramentas como Kafka, Kibana e Elasticsearch. - Boa comunicação para colaborar com diferentes áreas e traduzir necessidades de negócio em soluções técnicas. - Inglês para leitura e compreensão de documentações técnicas. Requirements - Experiência em empresas de tecnologia ou fintechs de alta escala. - Vivência com Data Lakes e arquiteturas modernas de dados. - Experiência em ambientes com grande volume de dados. - Facilidade para documentar soluções e compartilhar conhecimento com o time. Benefits - Plano de saúde (sem custo e sem coparticipação para você e seus familiares) + odonto e seguro de vida. - VA/VR flexível no Caju (liberdade real de uso). - Bem-estar completo: Totalpass (atividade física) + ZenKlub (saúde mental). - PPR anual atrelado a metas e impacto. - Acesso ao Skeelo Premium + clube do livro com ebook do mês. - Auxílio creche + licença parental estendida. - Parceria com escolas de idiomas, Berlitz e Open English. - Feriados de SP emendados + recesso remunerado no fim do ano. - Day off de aniversário.