Data Architect, GCP
Woongjin, INC.
AWSBigQueryCloudETLGoogle Cloud PlatformJenkinsKubernetesTerraform
Lead Data Engineer
Tidal Financial Group
full-time
Posted on:
Location Type: Remote
Location: Remote • Florida, Illinois, New York, Wisconsin • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowAmazon RedshiftAWSCloudETLKafkaPythonSQL
About the role
- Design, build, and optimize scalable data pipelines and architectures in AWS (or equivalent).
- Integrate complex financial data sources—Bloomberg APIs, custodial feeds, and fund administration data—into reliable, auditable data flows.
- Develop and maintain a modular, well-documented data ecosystem supporting analytics, reporting, and operations at scale.
- Implement automated data validation and testing frameworks (e.g., Great Expectations or similar).
- Establish proactive monitoring and alerting for data pipeline performance, reliability, and accuracy.
- Define and enforce standards for data lineage, versioning, and documentation within the engineering environment.
- Partner with sales, operations, and trading teams to define data requirements and ensure actionable insights.
- Provide hands-on technical guidance to data engineers and analysts, promoting best practices in coding, data modeling, and system design.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related experience in a technical field.
- 7+ years of professional experience in data engineering, including leadership or senior-level design responsibilities.
- Experience building and scaling cloud-based data architectures in financial or fintech environments.
- Expert in Python and SQL for data transformation, pipeline orchestration, and automation.
- Deep knowledge of data warehousing (Snowflake, Redshift, or equivalent) and cloud platforms (AWS preferred).
- Experience with modern orchestration and transformation tools (Airflow, dbt, Prefect).
- Familiarity with APIs, event-driven pipelines (Kafka or Kinesis), and ETL frameworks.
- Strong grasp of version control (Git/GitHub), CI/CD, and Agile methodologies.
- Familiarity with financial datasets (ETFs, trading, market data) and API integrations (Bloomberg, custodians, fund admins).
Benefits
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringPythonSQLdata warehousingcloud-based data architecturesdata transformationpipeline orchestrationautomated data validationdata modelingsystem design
Soft skills
leadershiptechnical guidancecollaborationbest practices promotion
