Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
About the role
- Senior Data Engineer implementing ingestion and transformation pipelines at SONAR in a hybrid role. Collaborating closely with engineering and data science teams in a fast-paced environment.
Responsibilities
- Implementing ingestion pipelines, using Airflow as the orchestration platform, for consuming data from a wide variety of sources (API, SFTP, Cloud Storage Bucket, etc.).
- Implementing transformation pipelines using software engineering best practices and tools (DBT)
- Working closely with Software Engineering and DevOps to maintain reproducible infrastructure and data that serves both API-only customers and in-house SaaS products
- Defining and implementing data ingestion/transformation quality control processes using established frameworks (Pytest, DBT)
- Building pipelines that use multiple technologies and cloud environments (for example, an Airflow pipeline pulling a file from an S3 bucket and loading the data into BigQuery)
- Create and ensure data automation stability with associated monitoring tools.
- Review existing and proposed infrastructure for architectural enhancements that follow both software engineering and data analytics best practices.
- Working closely with Data Science and facilitating advanced data analysis (like Machine Learning)
Requirements
- Strong working knowledge of Apache Airflow
- Experience supporting a SaaS or DaaS product, bonus points if you were creating new data products/features
- Strong in Linux environments and experience in scripting languages Python
- Expert Strong understanding of software best practices and associated tools.
- Experience in any major RDBMS (MySQL, Postgres, SQL Server, etc.).
- Strong SQL Skills, bonus points for having used both T-SQL and Standard SQL
- Experience with NoSQL (Elasticsearch, MongoDB, etc.)
- Multi-cloud and/or hybrid-cloud experience
- Strong interpersonal skills
- Comfortable working directly with data providers, including non-technical individuals
- Experience with the following (or transitioning from equivalent platform services): Cloud Storage, Cloud Pubsub, BigQuery, Apache Airflow, dbt, DataFlow
- Bonus knowledge/experience: Experience implementing cloud architecture changes
- Working knowledge of how to build and maintain APIs using Python/FastAPI
- Transforming similar data from disparate sources to create canonical data structures
- Surfacing data to BI platforms such as Looker Studio
- Data Migration experience, especially from one cloud platform to another
- Certification: Professional Google Cloud Certified Data Engineer
Benefits
- An excellent work environment, flat hierarchies, and short decision paths
- A generous benefits package including 100% employer-paid health, dental, vision and Life insurance, STD, LTD
- Stock options
- Appealing 401k matching plan
- Personal Development Credit (Can be used toward Student loans or relevant PD Courses)
- Annual life achievement bonus for having a baby, buying a house, or getting married (max one per year)
- No set days off
- Vacation policy (our team takes time off as needed with supervisor approval)
- Up to $50 for Gym or Virtual Gym membership.
- Up to $20 for AI subscription (ChatGPT, Grok, etc.)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Sr. ETL/Data Warehouse Lead at Huntington designing, developing, and supporting ETL and Data Warehousing framework. Analyzing systems based on specifications and providing technical assistance.
Data Engineer developing scalable data lake solutions and optimizing data pipelines at U.S. Bank. Collaborating with teams to manage data governance and cloud migration activities.
Lead AI, MLOps & Data Engineer at WedR, guiding complex data projects and AI innovation. Collaborate with diverse experts in a Product Studio for digital transformations.
Lead Azure Databricks Data Engineer implementing data solutions for data engineering projects at Ryan Specialty. Collaborating with stakeholders and mentoring junior staff on data pipelines and ETL processes.
Lead Azure Databricks Data Engineer at Ryan Specialty focused on implementing data solutions and collaborating with cross - functional teams to enhance data architecture.
Senior Data Engineer designing and implementing sustainable data solutions for diverse clients. Collaborating closely with stakeholders to enhance data services and platforms in a hybrid environment.
Risk Data Engineer and Architect at Lincoln Financial supporting risk analytics through AWS data solutions. Building scalable data pipelines and collaborating with cross - functional teams.
Staff Data Engineer at Qualifinds building AI - driven valuation tools and leading data ingestion development for art and collectibles management.
Senior Data Engineer designing secure and scalable data systems for maritime and defense applications. Seeking experienced professional with strong expertise in AWS and Azure environments.