What are the responsibilities and job description for the Databricks Architect || Beaverton, OR ||w2|| position at Amaze Systems Inc.?
Job Description
Job Description
W2 Opprtunity
Job Title : Databricks Architect
Location : Beaverton, OR|| W2 Opprtunity||
Duration : 15 Months Contract with possible to extend
This role needs someone local in Portland, with strong background in Data Modelling along with extensive experience in Databricks and Hackolade with prior Nike experience (Ex-Nike);
Databricks Architect with over 12 years of experience in data management and engineering, particularly with migration from Snowflake to Databricks. The ideal candidate will possess a deep understanding of Databricks, big data technologies, and cloud environments. This role involves designing scalable data solutions, optimizing data workflows, and collaborating with cross-functional teams to enhance data accessibility and usability.
Key Responsibilities :
Design and implement scalable data architectures using Databricks and related technologies.
Lead and manage the migration of data and workloads from Snowflake to Databricks.
Strong background in Data Modelling and experience in Hackolade is a must
Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and deliver solutions that meet organizational goals.
Optimize data pipelines and workflows for performance, reliability, and cost-effectiveness.
Ensure data governance, quality, and security practices are embedded in all data processes.
Conduct performance tuning and troubleshooting of Databricks applications.
Stay current with industry trends and emerging technologies to continuously improve data management practices.
Provide mentorship and guidance to junior team members.
Qualifications :
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
12 years of experience in data management and engineering, with a strong focus on Databricks.
Proven experience in migrating data and workloads from Snowflake to Databricks.
Proficiency in big data technologies such as Apache Spark, Hadoop, and Kafka.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Strong programming skills in languages such as Python, Scala, or SQL.
Knowledge of data warehousing concepts and data modeling techniques.
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Strong communication skills, both written and verbal.
Preferred Qualifications :
Databricks certification or relevant certifications in cloud technologies.
Experience with machine learning frameworks and analytics tools.
Familiarity with DevOps practices and CI / CD pipelines.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Databricks Architect || Beaverton, OR ||w2||?
Sign up to receive alerts about other jobs on the Databricks Architect || Beaverton, OR ||w2|| career path by checking the boxes next to the positions that interest you.
Not the job you're looking for? Here are some other Databricks Architect || Beaverton, OR ||w2|| jobs in the Beaverton, OR area that may be a better fit.
We don't have any other Databricks Architect || Beaverton, OR ||w2|| jobs in the Beaverton, OR area right now.
