Snaplogic Developer

Analysis of the Snaplogic Lead Role

1. What does the work look like for someone in this job?

As a Snaplogic Lead, your primary responsibilities will include:

• Designing and developing ETL pipelines using Snaplogic to integrate data across multiple systems.
• Collaborating with cross-functional teams (technical & non-technical) to ensure smooth data flow between upstream/downstream systems.
• Optimizing Snaplogic workflows by leveraging its features for performance and efficiency.
• Working with databases (Redshift, Oracle, or similar) in BI/DW environments.
• Troubleshooting and resolving technical issues related to data integration.
• Scripting and automation (Python, Unix) to enhance Snaplogic workflows.
• Managing AWS and Big Data technologies for data processing and transformation.
• Ensuring best practices in ETL development while maintaining scalability and reliability.

2. What are the main problems or pain points they are looking to solve with this hire?

The company is likely facing:

• Complex data integration challenges across multiple systems (SAP, Oracle ERP, APIs, etc.).
• Performance bottlenecks in ETL processes that need optimization.
• Lack of standardization in Snaplogic implementations, requiring an expert to enforce best practices.
• Cross-team collaboration issues, needing someone who can bridge technical and business teams.
• Scalability concerns with growing data volumes, requiring AWS/Big Data expertise.

3. Are there any unwritten requirements they will most likely have?

While not explicitly stated, they likely expect:

• Leadership experienceguiding junior developers or leading Snaplogic projects.
• Strong problem-solving skills—ability to debug complex data pipelines.
• Proactive attitude—identifying inefficiencies and suggesting improvements.
• Business acumen—understanding how data flows impact business decisions.
• Cloud expertise beyond AWS—familiarity with Azure/GCP could be a plus.

4. What skills do I need to have already to do well in this role?

Must-have skills:

7+ years of Snaplogic development (pipelines, optimization, troubleshooting).

Strong ETL knowledge (data mapping, transformations, error handling).

Database expertise (Redshift, Oracle, or similar in BI/DW contexts).

Cross-functional collaboration (working with tech & business teams).

AWS & Big Data exposure (data processing, transformations).

Good-to-have skills (will give you an edge):

Python/Unix scripting (1+ year experience).

Knowledge of other ETL tools (Informatica, Talend, etc.).

SAP/Oracle ERP integrations with Snaplogic.

API connectivity experience.

5. What key skills should be highlighted in the CV for this role?

To stand out, structure your CV to emphasize:

Snaplogic Expertise – Highlight complex Snaplogic projects, optimizations, and integrations.

ETL & Data Integration – Showcase experience in designing efficient ETL workflows.

Database & BI/DW Knowledge – Mention Redshift/Oracle deployments in data warehousing.

Cloud & Big Data – AWS, data processing, and transformation flows.

Scripting & Automation – Python/Unix scripting experience (if applicable).

Leadership & Collaboration – Instances where you led teams or worked across functions.

Problem-Solving – Examples of resolving Snaplogic performance issues or system integrations.

Final Recommendation:

This role is for a Snaplogic expert who can design, optimize, and troubleshoot data pipelines while collaborating across teams. If you have strong Snaplogic + ETL + database experience, along with AWS/Big Data exposure, you're a great fit.