Databricks Architect

Acunor is looking for Databricks Architect for one of its premier clients. it is fulltime and hybrid opportunity at NJ / OH. interested candidates are encouraged to apply with the most recent resume to

Position: Databricks Architect

Location: New Jersey / Dublin, OH (Hybrid)

Full Time position

Role & Responsibilities Overview:

Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)

Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring

Continuously improve systems through performance enhancements and cost reductions in compute and storage

Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs

Lead Data Engineering Projects to manage and implement data-driven communication systems

Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations

Integrate data across different systems and platforms

Strong verbal and written communication skills to manage client discussions

Candidate Profile:

Required skills:

Azure Databricks. Pyspark, SQL, CI/CD Pipelines for Databricks, ETL Processes, Project Management and Delta Lake Storage.

For this one, we need an experienced architect that is an expert in the whole of Microstrategy environments, and has lead an end-to-end implementation.

8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud

Based out of US

Some experience in insurance domain/ data is must

Programming Languages – SQL, Python

Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).

o Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops

Project Management using Agile, Scrum

B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.

Excellent communication & leadership skills, with the ability to lead and motivate team members

Ability to work independently with some level of ambiguity and juggle multiple demands