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Data Engineering RFP Template
The industry-standard template for evaluating data platform vendors. Copy, customize, and send.
rfp-template.md
DATA ENGINEERING SERVICES - REQUEST FOR PROPOSAL (RFP) ================================================================================ Issued: [DATE] Response Deadline: [DATE + 3 weeks] Contact: [YOUR NAME], [TITLE] Email: [YOUR EMAIL] Company: [YOUR COMPANY] 1. EXECUTIVE SUMMARY ================================================================================ [YOUR COMPANY] is seeking a qualified data engineering consulting firm to [describe high-level goal: e.g., "migrate our legacy on-premises data warehouse to a modern cloud platform and implement best-in-class data engineering practices"]. Key Objectives: 1. [Objective 1: e.g., Reduce data pipeline latency from 24h to 1h] 2. [Objective 2: e.g., Enable self-service analytics for 50+ users] 3. [Objective 3: e.g., Reduce infrastructure costs by 20%] 2. COMPANY BACKGROUND ================================================================================ [Brief description of your company, industry, and current data landscape. Mention existing tech stack: e.g., AWS, PostgreSQL, Tableau.] 3. SCOPE OF WORK ================================================================================ The selected vendor will be responsible for: 3.1. Architecture & Design - Review current state and propose future state architecture. - Define data modeling strategy (e.g., Data Vault, Star Schema). - Select appropriate tools for ingestion, transformation, and orchestration. 3.2. Implementation - Build/Migrate data pipelines (ETL/ELT). - Implement data quality checks and monitoring. - Set up CI/CD for data infrastructure (Infrastructure as Code). 3.3. Documentation & Training - Create technical documentation (architecture diagrams, runbooks). - Conduct knowledge transfer sessions for internal team. 4. TECHNICAL REQUIREMENTS ================================================================================ Please confirm your experience and approach for the following: - Cloud Platforms: [e.g., AWS, Azure, GCP, Snowflake, Databricks] - Orchestration: [e.g., Airflow, Dagster, Prefect] - Transformation: [e.g., dbt, Spark] - IaC: [e.g., Terraform, Pulumi] - Languages: [e.g., Python, SQL, Scala] 5. VENDOR CAPABILITIES & TEAM ================================================================================ 5.1. Case Studies Provide 3 relevant case studies including: - Client industry and size. - Problem statement and solution. - Measurable outcomes (ROI, performance improvements). 5.2. Team Composition - Provide resumes/profiles of the specific individuals proposed for this project. - Confirm timezone overlap and communication cadence. 6. COMMERCIAL TERMS ================================================================================ 6.1. Pricing Model - Provide a detailed breakdown of costs (Time & Materials vs. Fixed Price). - List hourly rates for each role. 6.2. Payment Schedule - Proposed milestone-based payment schedule. 7. EVALUATION CRITERIA ================================================================================ Proposals will be evaluated based on: - Technical expertise and approach (30%) - Relevant experience and case studies (25%) - Team quality and fit (20%) - Cost and commercial terms (15%) - Risk assessment (10%) 8. SUBMISSION INSTRUCTIONS ================================================================================ Please submit your proposal in PDF format to [EMAIL] by [DEADLINE]. Questions regarding this RFP must be submitted by [Q&A DEADLINE].
Next Steps
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