Senior Specialist - Data Engineering (Technical Lead with Snowflake, Python & Azure)

Implementation Technical Lead

We are looking for a highly motivated and experienced Implementation Technical Lead to oversee the end to end Integration of our core applications that support our alternatives business. The ideal candidate will need to be highly skilled in Python with expertise in Azure Function Apps, Azure SQL, Snowflake databases, REST APIs and API integration. The candidate will be responsible for designing, developing and maintaining scalable and efficient applications in data engineering platform architecture sound technical knowledge on full stack technologies Java or 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 Python programming and related frameworks along with strong data engineering and problem solving skills mindset.

Key Responsibilities

• 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 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 continuous 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 cataloguing processes
• Build and integrate APIs and backend systems using frameworks like Django Flask or Fast API
• 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 or Python
• Strong Problem solving communication and leadership skills
• Experience of code deployments using CICD 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 Alter domus I Capital Subscribe backstop chronograph
• Strong understanding of private market operations investment lifecycle and structures and fund life cycle
• Technology certifications on Azure snowflake Domain certifications on CFA

Skills

Mandatory Skills : Data team Lead, Snowflake, Python, Azure, ETL, Rest API, Apache Spark, Django, Flask, Nginx.