Senior Consultant - Data Engineer

Plaster Group•Seattle, WA

22d•$140,000 - $170,000

About The Position

Plaster Group is a business and technology consulting company. We are looking to hire a Senior Consultant with experience and passion for data and analytics to provide client solutions. They will be responsible for working closely with clients through the entire systems lifecycle, from requirements gathering through implementation of solutions. Ideal candidates should have a proven background managing data initiatives and collaborating with business and technical teams. Our consultants are thought partners who seek challenging and interesting engagements. We work with integrity and strive to do the right thing. We prioritize our clients’ best outcomes while showing compassion and empathy in all of our interactions. We create strong relationships with our clients and with one another. Join our team and create impactful solutions.

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or equivalent experience.
5+ years of hands-on data engineering experience.
Expert-level proficiency with Databricks (notebooks, Delta Lake, Unity Catalog, Workflows) and Snowflake (Snowpark, Streams/Tasks, cloning, performance tuning).
Strong Python, Spark (PySpark/Spark SQL), and advanced SQL; Scala is a bonus.
Deep experience with dbt (Core or Cloud), Azure Data Factory, Fivetran, or similar modern tooling.
Proven track record designing and delivering lakehouse or modern data warehouse solutions in Azure (preferred) or AWS/GCP.
Solid grasp of data security, governance, and compliance (GDPR, HIPAA, SOC 2, etc.).
CI/CD for data pipelines (GitHub Actions, Azure DevOps, Terraform, etc.).
Agile/Scrum experience and fluency with Jira or Azure Boards.
Excellent communication skills — you can explain complex technical concepts to non-technical stakeholders.

Nice To Haves

Databricks Certified Data Engineer Professional
Snowflake SnowPro Advanced
consulting background
Power BI or Tableau experience.

Responsibilities

Design, build, and maintain scalable ELT/ETL pipelines using Databricks (Delta Lake, Unity Catalog, Workflows) and Snowflake.
Lead the migration and modernization of legacy data warehouses into a unified lakehouse architecture.
Implement data modeling best practices including star/snowflake schemas, dimensional modeling, and data vault when needed.
Optimize Databricks clusters, Snowflake warehouses, and storage for performance and cost (auto-suspend, query acceleration, clustering keys, etc.).
Build and orchestrate pipelines with tools such as dbt, Azure Data Factory, Fivetran, Airflow, or Databricks Workflows.
Implement CI/CD for data assets (GitOps, testing, schema evolution, monitoring).
Partner with data analysts, scientists, and business stakeholders to translate requirements into clean, trusted datasets.
Enforce data governance, security (RBAC, dynamic masking, encryption), and compliance standards.
Troubleshoot incidents, perform root-cause analysis, and drive long-term remediation.

Benefits

100% matching of 401k contributions up to 3% of employee’s salary when you contribute up to 3% of your salary. No wait period, and fully vested upon initial contribution.
Eligible for annual bonus on hire date anniversary.
100% employer-paid premiums for medical, vision, and dental coverage for employees and eligible family members.
100% employer-paid premiums for Life, AD&D, short term, and long-term disability insurance for employees.
Dependent Care Flexible Spending program.
Generous time off of 4 weeks, accrued annually.
10 paid holidays, which includes 1 floating holiday.
Annual Training & Development reimbursement program, plus an additional 16 hours of training time.
Annual Health & Wellness reimbursement program.
Monthly technology allowance automatically added to your paycheck.
Employee Assistance Program, with 4 free counseling sessions.