Data is fundamental to federated digital ecosystems yet managing it effectively across diverse agencies and jurisdictions remains a complex challenge. Among these challenges, data pollution—characterized by excessive, inconsistent, inaccessible, unusable toxic or dark data—significantly undermines data trustworthiness and utility. The critical question is: how can data pollution be detected and mitigated within the federated digital ecosystems? To tackle this, we propose a Data Satellite Architecture (DSA), a novel approach that integrates the disjoint data Governance, Quality assurance, Monitoring and Observability capabilities for combating data pollution and enhancing trustworthiness. The DSA is designed to combat data pollution, enhance trustworthiness, and ensure secure, reliable data flows across ecosystems. Using an echeloned Design Science Research methodology, we develop and evaluate the proposed DSA. This paper presents the initial alpha version (conceptual) of the DSA. This new concept of DSA is expected to spark new discussion and research areas in the context of data-intensive digital government ecosystems.