Senior AWS data engineer responsible for designing and operating AWS-based data pipelines and storage, integrating AWS systems with Snowflake, and implementing Snowflake AI components. Own data mart, data warehouse, and data lake design; develop data models and end-to-end process flows; produce initial architecture drafts for review; collaborate with architects and stakeholders; and deliver senior-level data engineering solutions for handoff to operations.
AWS Data EngineerSummary
We are seeking a senior AWS Data Engineer to join a data engineering project focused on building and operating AWS-based data solutions and Snowflake-centric data platforms. This role will design and implement data pipelines, storage, and Snowflake AI components to meet the project's data integration and analytics needs.
This position emphasizes senior-level data engineering delivery (not application development), ownership of data mart, data warehouse, and data lake design, and the ability to produce initial architecture drafts independently for architectural review. The delivery model is optimized for nearshore cost efficiency.
Responsibilities- Design AWS data engineering components including Lambda, S3, and database integrations.
- Build and operate data pipelines that integrate AWS systems with Snowflake.
- Implement Snowflake features including Snowflake AI components (Cortex, Cortex Code, AI functions).
- Own design and implementation of data marts, data warehouses, and data lakes.
- Develop data models and define process flows for end-to-end data integration.
- Produce initial architecture drafts independently for review by the architecture team.
- Collaborate with architects and stakeholders to refine designs and ensure alignment with project goals.
- Focus on senior-level delivery of data engineering solutions and handoff to operational teams.
- 6-9 years of hands-on experience in data engineering.
- Hands-on experience with AWS Lambda.
- Hands-on experience with AWS S3.
- Hands-on experience with databases and related AWS services.
- Hands-on experience with Snowflake, including Snowflake AI components (Cortex, Cortex Code, AI functions).
- Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow.
- Proven ability to produce initial architecture drafts independently for architectural review.
- Profile scope: senior-level data engineering experience (not application/app development).
Similar Jobs
Enterprise Web • Hardware • Internet of Things • Software
Lead vertical marketing for EMEA West: own messaging, positioning, campaigns, and content end-to-end; drive sourced and influenced pipeline with Sales/BDR/pre-sales; produce assets (ebooks, webinars, landing pages); run multi-touch account-level campaigns; synthesize market and performance data; and use AI to scale and iterate campaigns. French and English required.
Top Skills:
Ai Tools
Enterprise Web • Hardware • Internet of Things • Software
Lead DACH enterprise sales for manufacturing SaaS: own ARR growth, prospect and close complex deals, coordinate cross-functional teams, build regional GTM, hire and mentor local sales staff, and document scalable sales processes.
Top Skills:
Linkedin Sales NavigatorOutreachSalesforceZoominfo
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
As a Sales Development Representative, you'll generate sales opportunities, collaborate with teams, understand customer needs, and research market opportunities.
Top Skills:
SaaSSpeech RecognitionVoice Ai
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
