DATA ENGINEERING SERVICES - REQUEST FOR PROPOSAL (RFP)
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Issued: [DATE]
Response Deadline: [DATE + 3 weeks]
Contact: [YOUR NAME], [TITLE]
Email: [YOUR EMAIL]
Company: [YOUR COMPANY]

1. EXECUTIVE SUMMARY
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[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
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[Brief description of your company, industry, and current data landscape. Mention existing tech stack: e.g., AWS, PostgreSQL, Tableau.]

3. SCOPE OF WORK
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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
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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
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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
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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
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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
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Please submit your proposal in PDF format to [EMAIL] by [DEADLINE].
Questions regarding this RFP must be submitted by [Q&A DEADLINE].