Featmate
Architect and Implement a Scalable Data Warehouse Solution
Featmate, Snowflake, Arizona, United States, 85937
Architect and Implement a Scalable Data Warehouse Solution
Sep 28, 2025 - Senior $3,000.00 Fixed
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. Notice: You must have login as a freelancer to send a proposal.
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Sep 28, 2025 - Senior $3,000.00 Fixed
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. Notice: You must have login as a freelancer to send a proposal.
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