Consultant Data

A Little About Us Keystone AI provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. Keystone AI empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, Keystone AI supports major government organizations, financial services, media and information technology companies. Keystone AI’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. Keystone AI delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com Position Overview As a Consultant in our Professional Services team, you will act as a trusted technical advisor to our clients, helping them unlock the value of their data. You will bridge the gap between business requirements and technical execution, designing and building robust data pipelines, analytics frameworks, and AI/ML-driven solutions. This role is ideal for a high-performing Data Engineer or Analytics Consultant who thrives in a client-facing environment, loves solving complex data puzzles, and wants to deliver cutting-edge data and AI solutions. Key Responsibilities Delivery & Implementation: Partner with clients to implement scalable data engineering pipelines, data models, data warehouses, and analytics platforms from inception to deployment. Data Infrastructure & Platform Management Set up and configure the underlying platforms — storage, compute clusters, data warehouses. Identify and implement performance tuning as required. Analytics & Insights: Develop advanced analytics models, dashboards, and reporting frameworks that provide actionable business intelligence to client stakeholders. AI/ML Integration: Assist clients in integrating AI/ML capabilities, LLMs, and predictive analytics into their existing data ecosystems and business workflows. Best Practices: Ensure high data quality, governance, security, and performance optimization across all client deliverables. Required Skills & Qualifications Experience: 2–5 years of experience in Data Engineering, Data Analytics, or a data-focused technical consulting role. Cloud Data Ecosystems: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and core modern data stack tools (e.g., Snowflake, Databricks, BigQuery, dbt). Data Engineering: Strong proficiency in Python or Scala, and advanced SQL . Experience building batch and real-time data pipelines. Analytics & AI: Experience working with data science libraries (e.g., Pandas, NumPy, Scikit-Learn, pytorch) and a solid understanding of deploying AI/ML models or integrating AI APIs. Data Modeling: Solid understanding of data warehousing concepts, data modeling (Star/Snowflake schema), and data architecture principles. Consulting & Communication: Excellent client-facing communication skills, with the ability to manage stakeholder expectations, write clear documentation, and present complex technical concepts simply. Preferred Qualifications Higher education degree in Engineering, Computer Science, IT/Data science, or equivalent field experience . Experience with BI and data visualization tools (e.g., Tableau, PowerBI, Looker). Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for data (MLOps/DataOps). Prior experience working in a Professional Services, Professional Consulting, or IT Advisory capacity. Familiarity with RAG. English speaking required, Spanish speaking is a plus. Keystone AI is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits. We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply! Keystone AI is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Keystone AI was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity. Keystone AI does not seek or accept unsolicited resumes or CVs from recruitment agencies. Keystone AI and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between Keystone AI and the recruitment agency or party requesting payment of a fee. #LI-Remote