Business Intelligence (BI) Platform Engineer

As a BI Platform Engineer at Alphastream.ai, you will play a crucial role in building and scaling the Business Intelligence layer to empower clients to explore, analyze, and visualize data through interactive dashboards and analytics tools. Your responsibilities will include:

• Designing, developing, and deploying interactive BI dashboards and tools such as Power BI, Tableau, Qlik, QuickSight, or similar for client-facing use.
• Building self-service BI platforms that enable clients to independently explore and analyze datasets.
• Collaborating with cross-functional teams (Backend, Data Engineering, Frontend) to ensure strong engineering support.
• Integrating dashboards and analytics modules into the existing client-facing GUI, focusing on performance, usability, access control, and multi-tenant security.
• Retrieving and consuming data from PostgreSQL or other relational databases in collaboration with Data Engineers to define datasets and transformations for analytical use cases.
• Ensuring data governance, secure access, and consistency in BI deployments.
• Working with UX and frontend teams to provide a seamless client experience within the platform.

To excel in this role, you should have:

• Proven experience with at least one major BI platform (Power BI, Tableau, Qlik, QuickSight, or equivalent).
• Ability to write basic to intermediate SQL for data querying and exploration, with complex SQL tasks handled by Data Engineers.
• Proficiency in embedding and publishing BI dashboards within web applications.
• Understanding of authentication, access control, and multi-tenant security in BI solutions.
• General knowledge of data integration concepts like ETL/ELT.
• Experience in deploying scalable BI solutions in production environments.
• Strong communication and collaboration skills to work effectively with engineers, product managers, and client-facing teams.

Preferred qualifications include:

• Knowledge of Dimensional Modelling (Star/Snowflake schemas).
• Familiarity with data pipeline tools like Airflow, dbt, or similar.
• Experience with embedding analytics via APIs or SDKs.
• Exposure to SaaS / multi-tenant product environments.
• Some familiarity with Python or Node.js for automation and data manipulation.

Additionally, the company, Alphastream.ai, envisions a future where AI technology drives financial innovation and offers curated data and analytics to empower various financial institutions. The company provides accurate and timely information across financial and non-financial data domains, enhancing decision-making processes.

Alphastream.ai offers a dynamic and inclusive workplace with competitive compensation, comprehensive benefits, opportunities for professional growth, and a focus on work-life balance. Join a team that recognizes and rewards achievements while fostering an engaging workplace culture.

To apply for this exciting opportunity, please send your resume and portfolio to hr@alphastream.ai. Candidates should be comfortable working late hours to align with US time zones for seamless collaboration and timely project delivery.

Alphastream.ai is an equal opportunities employer committed to creating a supportive and inclusive environment for individuals from diverse backgrounds. The company values skills and talents, recruiting, developing, and advancing individuals based on merit. As a BI Platform Engineer at Alphastream.ai, you will play a crucial role in building and scaling the Business Intelligence layer to empower clients to explore, analyze, and visualize data through interactive dashboards and analytics tools. Your responsibilities will include:

• Designing, developing, and deploying interactive BI dashboards and tools such as Power BI, Tableau, Qlik, QuickSight, or similar for client-facing use.
• Building self-service BI platforms that enable clients to independently explore and analyze datasets.
• Collaborating with cross-functional teams (Backend, Data Engineering, Frontend) to ensure strong engineering support.
• Integrating dashboards and analytics modules into the existing client-facing GUI, focusing on performance, usability, access control, and multi-tenant security.
• Retrieving and consuming data from PostgreSQL or other relational databases in collaboration with Data Engineers to define datasets and transformations for analytical use cases.
• Ensuring data governance, secure access, and consistency in BI deployments.
• Working with UX and frontend teams to provide a seamless client experience within the platform.

To excel in this role, you should have:

• Proven experience with at least one major BI platform (Power BI, Tableau, Qlik, QuickSight, or equivalent).
• Ability to write basic to intermediate SQL for data querying and exploration, with complex SQL tasks handled by Data Engineers.
• Proficiency in embedding and publishing BI dashboards within web applications.
• Understanding of authentication, access control, and multi-tenant security in BI solutions.