
Senior AI Data Architect (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior AI Data Architect. in . United States. .. As a Senior AI Data Architect, you will play a key role in shaping the data strategy and architecture of next-generation finance platforms powered by artificial intelligence and machine learning. You’ll design and implement innovative, enterprise-grade data solutions that drive insights, scalability, and business value. Working cross-functionally with engineers, analysts, and business leaders, you’ll ensure that the data ecosystem supports advanced analytics and AI integration. This is an opportunity to lead high-impact projects, define standards for data governance, and help build the future of intelligent financial systems.. . Accountabilities:. Design and implement scalable enterprise data architectures using . Delta Lakehouse. , . Star Schema. , and . Data Lake. patterns.. Define and enforce data modeling standards, metadata management, and governance frameworks.. Architect and optimize . ETL/ELT pipelines. using . Databricks Workflows. , . Apache Airflow. , or equivalent orchestration tools.. Integrate . AI/ML models. into data pipelines and ensure efficient, scalable deployment.. Collaborate with cross-functional teams to translate business needs into technical data solutions.. Ensure data quality, lineage, and observability across multiple platforms and environments.. Drive . CI/CD practices. for data infrastructure, including Git-based version control and automated testing.. Provide architectural guidance for . Azure. , . GCP. , and other cloud environments.. Stay current with emerging data and AI technologies to recommend strategic improvements.. Bachelor’s degree in . Computer Science, Information Technology. , or related field.. Minimum of . 5 years’ experience. as a Data Architect or Senior Data Engineer with architectural responsibilities.. Proven background in the . finance domain. and . big data integration & analytics. (3+ years).. Strong hands-on experience with . Delta Lake, Databricks, Apache Airflow, Snowflake. , and cloud platforms (. Azure or GCP. ).. Expertise in . data modeling, data warehousing, and lakehouse architectures. .. Experience integrating . AI/ML workflows. into data platforms (3+ years).. Proficiency with . DevOps practices. , including CI/CD pipelines and Git-based workflows.. GCP certification. is required; additional finance-related technical certifications are a plus.. Passion for using data and AI to drive better business and consumer experiences.. Ability to work remotely with reliable . high-speed internet. (25 Mbps download / 10 Mbps upload minimum).. . Company Location: United States.