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Data Architect (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Architect in the United States.. This role offers the opportunity to lead the design and implementation of enterprise-scale, cloud-native data architectures that support advanced analytics and AI/ML initiatives. You will be responsible for shaping the organization’s data lake and integration ecosystem, ensuring data quality, governance, and scalability. This position involves close collaboration with cross-functional teams, including data engineering, analytics, and business stakeholders, to translate complex requirements into practical and secure solutions. The ideal candidate thrives in a dynamic, fast-paced environment, mentoring technical teams while driving innovation in data management practices. Strong experience with AWS services, data modeling, and cloud-native design patterns is essential. You will have a direct impact on data-driven decision-making and AI/ML projects, supporting mission-critical applications for meaningful outcomes.. . Accountabilities:. Lead the architecture and implementation of AWS-based data lakes, data warehouses, and real-time data pipelines.. Define and enforce data modeling, metadata, lineage, and governance standards to support analytics and machine learning workflows.. Establish best practices for schema design, normalization, and optimal data formats (e.g., Parquet, JSON).. Collaborate with cross-functional teams to design scalable, secure, and cost-efficient data architectures aligned with business and AI/ML use cases.. Guide the selection and application of AWS services (Glue, S3, Lake Formation, Redshift, Athena, Step Functions) and integration tools (Kafka, Talend, Informatica).. Mentor technical teams on architectural standards, cloud-native design patterns, and modern data management practices.. Support project delivery for Data Lake, Data Warehouse, and BI initiatives, ensuring alignment with strategic objectives and regulatory requirements.. Bachelor’s degree required; advanced degree preferred.. 7+ years of experience in data architecture, engineering, or enterprise data management.. 3+ years of hands-on experience designing and implementing cloud-native data solutions in AWS.. Expertise in data modeling, metadata management, governance frameworks, and ETL concepts.. Proficiency with SQL, Python, and familiarity with big data tools such as Spark, Kafka, or AWS Kinesis.. Experience with databases and BI tools such as Tableau, Power BI, or SQL Server Reporting Services.. Strong leadership, mentoring, and communication skills; ability to collaborate across technical and non-technical teams.. Must reside and work in the United States; able to support Eastern Time Zone.. Ability to obtain and maintain a Public Trust clearance.. Preferred: AWS Certification, experience with multi-cloud environments, and knowledge of integration frameworks and compliance frameworks in regulated settings.. . Company Location: United States.