Architect and Implement a Scalable Data Warehouse Solution

Architect and Implement a Scalable Data Warehouse Solution

Job Overview
Budget:

$3,000.00

Level:

Senior

Location:

United Kingdom

Job Posted:

28 Sep, 2025

Category:

Database

Business Overview:

We are a fintech company with a rapidly growing volume of transactional data. Our current database is struggling to handle complex analytical queries, and our data is siloed across different systems.

The Challenge:

Our current data infrastructure is not designed for advanced analytics. We cannot perform business intelligence queries efficiently, and integrating data from different sources is a manual, time-consuming process. This prevents us from making data-driven decisions. The inability to query and analyze our data effectively is a major bottleneck for our business growth. We are missing critical insights into customer behavior and market trends, which puts us at a competitive disadvantage.

Proposed Method:

We need a senior data architect to design and implement a scalable, cloud-based data warehouse. The project involves:

Data Modeling:

Designing a new schema optimized for analytical queries.

ETL/ELT Pipeline:

Building automated pipelines to ingest data from various sources (e.g., operational databases, APIs, logs).

Data Warehouse Implementation:

Setting up the data warehouse using a technology like Snowflake, BigQuery, or Redshift.

Data Governance:

Establishing clear data quality and security standards.

Required Experience:

At least 4+ years of experience in data engineering or data architecture. The freelancer must have a proven track record of designing and implementing production-ready data warehouse solutions.

Required Expertise:

Expertise in

data warehouse technologies

(Snowflake, BigQuery, Redshift).

Mastery of

ETL/ELT tools and processes.

Strong knowledge

of SQL and data modeling techniques.

Experience with

cloud platforms (AWS, GCP, or Azure).

Sample Work Required:

Please provide documentation or a case study of a data warehouse project you have previously worked on, including details on the architecture, technologies used, and business impact.

Freelancer Proposal:

The freelancer should submit a comprehensive proposal detailing the proposed data warehouse architecture, the ETL/ELT pipeline design, and the overall project plan and timeline. The proposal must also include a risk assessment.

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