Data Lead / Senior Data Engineer

TalentOla View all jobs
Charlotte, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 105K

Job location

Charlotte, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
JIRA
Cloud Computing
Code Review
Information Engineering
Data Infrastructure
ETL
Data Warehousing
Identity and Access Management
Python
Performance Tuning
Scrum
DataOps
SQL Databases
Snowflake
Data Build Tool (dbt)
Amazon Web Services (AWS)
Star Schema
Data Management
Data Pipelines

Job description

We are seeking a seasoned Data Lead / Senior Data Engineer to join our team as a technical anchor for a data platform. In this role, you won't just be building pipelines; you'll be the bridge between complex business requirements and scalable technical reality. You will lead the development of robust ETL processes, support a team of developers, and collaborate closely with stakeholders to ensure customer's data infrastructure evolves alongside our business goals., * Development: Good understanding of data platforms and ETL frameworks, design, develop, and maintain end-to-end ETL/ELT pipelines using Python, AWS Glue, Snowflake, and dbt (optional).

  • Orchestration & Automation: Build and manage sophisticated workflow schedules using AWS Airflow (MWAA) and other native AWS Services.
  • Agile Leadership: Own the project lifecycle within JIRA, from sprint planning and task breakdown to maintaining rigorous design documentation.
  • Stakeholder Collaboration: Partner with the Project Manager and Data Engineering Team Leads to translate ambiguous business needs into clear technical requirements and identify potential project risks early.
  • Technical Mentorship: Act as a lead for the development team, providing technical guidance, conducting thorough code reviews, and helping peer developers digest complex requirements.
  • Operational Excellence: Support the Data Operations/Production Support teams in troubleshooting critical issues and ensuring high system uptime.
  • Strategic Planning: Contribute to the long-term technical roadmap, identifying opportunities for tool optimization and architectural improvements.

Required Technical Skills: Category Skills & Tools Cloud Infrastructure AWS (Glue, S3, IAM, MWAA/Airflow) Data Warehousing Snowflake (SnowSQL, Performance Tuning) Languages Python (Advanced), SQL Data Modeling (Optional) dbt (Data Build Tool), Star/Snowflake Schema Task Management JIRA, Agile/Scrum Methodologies, * The "Technical Translator": You can talk shop with engineers but also explain a technical bottleneck to a PM in a way that makes sense for the business.

  • The Mentor: You enjoy helping others level up and believe that a solid code review is an opportunity for teaching, not just nitpicking.
  • The Problem Solver: You don't just fix a production bug; you look for the root cause and implement a fix that prevents it from happening again.
  • The Planner: You are organized and understand that a well-documented design and a clean JIRA board are essential for team velocity.

Requirements

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