Quantiphi

SeniorTechnicalArchitect-Databricks

€95–140k ~AI est. Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Technical Architect - Databricks at Quantiphi. Skills: Databricks, AWS, Data Engineering, Cloud Architecture. Solve enterprise data problems. Develop solutions for migration”

Industry & Context.

Problems you'll solve

Solve enterprise data problems

What They're Looking For.

Must Have

10+ years relevant experience, Building cloud-native solutions, Building hybrid solutions, Building multi-cloud solutions, Databricks implementations, Develop data pipelines using PySpark, Databricks Workspaces, Databricks Notebooks, Delta Lake, Databricks APIs, Production grade solutions using AWS, Redshift, S3, Glue, Lambda, Airflow, PySpark, Python, Data pipelines using Glue/Airflow/Sagemaker, Large cloud-based migration workloads, SQL, NoSQL Databases, Migration of databases to AWS, Creating roadmaps for migration, Architecture for migration workloads, ETL tools, Data warehouse, SQL query optimisation, SQL-based technologies, MySQL, Oracle DB, SQL Server, Creation of data dictionaries, Maintenance of data dictionaries, Creation of metadata repositories, Maintenance of metadata repositories, Creation of data lineage documentation, Maintenance of data lineage documentation, Building large-scale systems, Supporting large-scale systems, Production environment, Mentor data engineers, Manage data engineers, Lead end to end delivery, Github for developmental activities, Codecommit for developmental activities, Designing orchestration frameworks, Optimizing orchestration frameworks, Apache Airflow, Amazon MWAA, DAG optimization, Dependency management, Orchestration retries, Orchestration monitoring, Orchestration operationalization

Nice to Have

AWS services - S3, AWS services - Redshift, AWS services - Secrets Manager, SageMaker Unified Studio, Modern business catalog implementations, Modern governance implementations, Metadata management, Data discovery, Governed analytics access, Data integration projects using ETL, Airflow for orchestration, Step Functions for orchestration, IaC tools like Terraform, CI/CD tools, Migrating large amounts of data, Processing large amounts of data, Data lake on cloud, Data warehouse on cloud, Implementing industry best practices

What You'll Do.

Solve enterprise data problems

Develop solutions for migration

Develop solutions for storage

Develop solutions for processing

Build cloud-native solutions

Build hybrid solutions

Build multi-cloud solutions

Develop data pipelines using PySpark

Implement Databricks Workspaces

Implement Databricks Notebooks

Develop production grade solutions

Build data pipelines using Glue/Airflow/Sagemaker

Work on large cloud-based migration workloads

Migrate databases to AWS

Create roadmaps for migration

Design architecture for migration

Execute migration workloads on AWS

Create data dictionaries

Maintain data dictionaries

Create metadata repositories

Maintain metadata repositories

Create data lineage documentation

Maintain data lineage documentation

Build large-scale systems

Support large-scale systems

Mentor junior data engineers

Mentor senior data engineers

Manage junior data engineers

Manage senior data engineers

Lead end to end delivery

Use Github for development

Use Codecommit for development

Design orchestration frameworks

Optimize orchestration frameworks

Monitor orchestration

Operationalize orchestration

How You'll Work.

Team & Collaboration

Mentor teams; Lead teams

Process & Methodology

Roadmap creation, End to end delivery

Full Job Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! **_About Quantiphi:_** Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. **#SolvingWhatMatters.** We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: * 3 AWS AI/ML Partner of the Year awards * 3 NVIDIA Partner of the Year awards * 3 Snowflake Partner of the Year awards * Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a **Great Place to Work** —reflecting our commitment to our people and our culture. For more details, visit:_[ Website](http://www.quantiphi.com/) _or _[ LinkedIn Page](https://www.linkedin.com/company/quantiphi/)_ **Role:** Technical Architect - Data *

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