Data Architect

Ghost•Los Angeles, CA

5h•$150,000 - $180,000•Onsite

About The Position

We are looking for a Data Architect to join our team and play a pivotal role in delivering high-quality data solutions. Our data landscape has grown organically and needs consolidation, standardization, and strategic redesign. You’ll be leading a comprehensive overhaul of our data infrastructure, working on critical business reporting, complex data integration, data warehousing, and data modeling projects. You are a creative, problem solver who works directly with stakeholders to leverage your expertise in reporting, data warehousing, ETL/ELT development, cloud-based data platforms, and technical solutioning. You will aggregate our data from different sources to create dashboards that will support business strategy and growth.

Requirements

Bachelor's or Master's degree in computer science, engineering, or a related field.
Experience with being an early data engineer within a fast-moving and dynamic startup environment
5+ years of experience in data engineering, including hands-on experience with data warehousing, ETL/ELT development, and cloud-based data platforms.
Solid expertise in SQL (e.g., PostgreSQL), relational databases, and NoSQL databases.
Experience with cloud platforms (AWS) and their data services (e.g., Snowflake, Redshift).
Proven track record of delivering high-quality data solutions, with a focus on scalability and performance.
Excellent project management skills with experience in Agile methodologies.
Strong problem-solving abilities and attention to detail.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders

Responsibilities

Audit existing data infrastructure and create a roadmap for consolidation and modernization
Pair with business stakeholders to derive reporting requirements
Design and implement data integration strategies and develop efficient data pipelines to synchronize dispersed data sources
Work with large and complex datasets, including structuring, cleaning, and transforming data
Develop and optimize ETL/ELT processes to transform, clean, and structure large and complex datasets
Collaborate with cross-functional product teams to understand business requirements and develop data-driven solutions
Lead the design and implementation of scalable data models to support analytics and reporting needs
Drive the adoption of best practices in data engineering, data governance, and data quality to ensure the integrity and reliability of our data
Manage projects and initiatives, applying Agile methodologies to ensure timely and successful delivery of data engineering solutions
Architect and build data warehousing solutions to ensure efficient storage and retrieval of data
Stay updated with the latest trends and advancements in data engineering technologies, tools, and techniques, and assess their potential for enhancing our data infrastructure and capabilities