We are looking for a highly motivated and experienced Implementation/Technical Lead to oversee the end-to-end deployment and operationalization of our Privates data platform.
The ideal candidate will need to have a strong background in data engineering, platform architecture, sound technical knowledge on full stack technologies
Java/Python and will work on diverse projects from building APIs and web applications to data processing and automation around the data platform while ensuring alignment with business and technical requirements.
This role requires Java/Python programming and related frameworks along with strong data engineering and problem solving skills mindset.
Lead the development, design, development and deployment of data pipelines, storage solutions and analytic tools
Ensure scalability, reliability and security of the platform to meet current and future demands.
Oversee the implementation of data lakes, warehouses and ELT/ETL pipelines on azure and snowflake
Develop and Review code and ensure adherence to development best practices and standards
Foster a culture of collaboration, innovation and continous improvement within the team.
Drive integration of real-time and batch data processing capabilities.
Ensure compliance with data governance policies, security and regulatory requirements.
Implement robust data quality, lineage and cataloging processes
Build and integrate APIs and backend systems using frameworks like Django, Flask or FastAPI
Develop scripts and tools for data analysis, transformation and automation
Write unit tests, integration tests and conduct debugging to ensure software quality
Work closely with cross-functional teams including developers, product managers, business analysts and other stakeholders to align the data platform with organizational goals
Translate business requirements into scalable technical solutions Qualifications
Proven experience in leading the design and development of large scale data platform
Proven experience as a full stack developer or similar role
Expertise in data platform technologies - snowflake, Azure SQL Server
Proficiency in data engineering tools and frameworks - Apache Kafka, Spark,
Strong understanding of cloud platforms - Azure and containerization (Docker, Kubernetes)
Experience with both batch and real-time data processing
Deep knowledge of SQL and programming languages - JAVA/Python
Strong Problem-solving communication and leadership skills
Experience of code deployments using CI/CD Pipelines
Proficiency with code repos GitHub
Knowledge and experience developing restful APIs
Certifications in Snowflake, Azure
Experience in Alternatives (Private equity, Private Capital, Co-investments, debt, venture capital, hedge and real assets) domain,
working with private market industry solutions, Investran, Alterdomus, iCapital, Subscribe, backstop, chronograph? Strong understanding of private market