Data Architect

Data Architect DBX ML

Location: Remote (US)

Exp: 10 Years

Travel Expectation: Up to 10%

Required Past Experience:

Databricks Certified Machine Learning Professional

Preferred to have current credentials or ability to obtain within first 60 days of employment

5 years of experience with a proven experience in ETL testing Handson experience in SQL with advanced level skills

Experience in scripting language (shell/python)

Knowledge and understanding in Data Warehouse and data modeling

Experience in healthcare insurance domain would be nice to have

Experience using Data Warehousing and Business Intelligence tools such as Datastage / Informatica GCP Bigquery Tableau and SSRS etc.

Willingness to continuously learn & share learnings with others and capability to collaborate with stakeholders and project leaders to understand requirements deliverables

Experience working in an agile and collaborative team environment

Excellent written and verbal communication presentation and professional speaking skills

Proven problemsolving skills and attention to detail with a commitment to excellence and high Standards

Required Skills and Abilities:

5 years or more consulting experience working with external clients across a variety of industry markets

7 years experience in Data Architecture data engineering & analytics in areas such as performance tuning pipeline integration & infrastructure configuration

Indepth knowledge of AWS data services and related technologies including but not limited to: Redshift Glue S3 AuroraDB MWAA Lambda and SageMaker

Deep knowledge and expertise in Databricks and its components such as Unity Catalog Delta Lake Delta Live Tables Apache Spark and related technologies such as dbt.

Productionlevel experience with data ingestion streaming technologies (i.e. Kafka) performance tuning troubleshooting and debugging

Deep understanding of machine learning algorithms techniques and methodologies with handson experience in applying supervised unsupervised and deep learning techniques to realworld problems.

Proficiency in programming languages such as Python R Spark or Scala including expertise in data manipulation and analysis libraries (e.g. NumPy pandas).

Possess deep knowledge and handson experience with data streaming technologies such as Apache Kafka Apache Flink or similar platforms.

Experience implementing realtime data processing pipelines for streaming analytics.

Experience with Terraform Git CI/CD tools as well as Automation and Integration testing

Experience with cloud computing platforms (e.g. AWS Azure GCP) and their machine learning services preferred AWS

Possess strong problemsolving and analytical skills with the ability to identify and resolve complex data engineering challenges.

Has excellent communication and interpersonal skills with the ability to collaborate effectively with crossfunctional teams and stakeholders.

Has the ability to adapt to changing project requirements and manage multiple tasks simultaneously.

Education: Bachelors Degree or equivalent experience required.

shell/python