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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data architectures, leading data integration efforts, and optimizing ETL/ELT pipelines. Proficient in data governance, metadata management, and providing technical leadership within data engineering teams.
Highest-signal resume keywords
Data Architecture DesignETL/ELT Pipeline DevelopmentData Integration from ERP and CRM SystemsDatabricks and Spark ProficiencyData Governance and Metadata Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureETL/ELT ProcessesSQLPythonT-SQLData ModelingData MigrationData Quality AssuranceDelta LakeSchema Design
Soft Skills
Communication SkillsCollaboration SkillsTechnical LeadershipMentorship
Tools & Technologies
DatabricksSalesforceSAPOracleSyteLinePower BITableauSQL ServerPostgreSQLUnity Catalog
Industry Keywords
Data GovernanceMetadata ManagementData SecurityManufacturing DataFinancial DataSupply Chain DataCI/CD PracticesInfrastructure AutomationDevOps
Tech Stack
Tools & technologiesCloudERPETLOraclePostgresPythonSparkSQLTableauUnity
About the role
Key responsibilities & impact- Design and implement scalable data architectures across hybrid cloud and on-premise environments
- Lead data integration efforts from ERP systems including SAP, Oracle, and SyteLine, and CRM systems such as Salesforce
- Develop and optimize scalable ETL/ELT pipelines using distributed data processing and orchestration frameworks
- Lead large-scale data migration projects while ensuring data integrity, lineage, and minimal business disruption
- Design and maintain logical and physical data models for transactional and analytical use cases
- Collaborate with data engineers and analysts to operationalize and enhance data solutions
- Ensure performance, scalability, and reliability of data workflows and storage through indexing, partitioning, and caching
- Champion data quality, governance, and metadata management across reporting and analytics ecosystems
- Provide technical leadership and mentorship to data engineering teams
- Advocate for modern data practices and tools
- Monitor emerging data architecture technologies to drive innovation and modernization
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, or related field
- 7+ years of experience in data architecture, data engineering, or related roles
- Hands-on experience with Databricks, including building data pipelines, working with Delta Lake, and leveraging Spark-based transformations
- Proficiency with relational database development, including T-SQL, schema design, and indexing, across platforms such as SQL Server or PostgreSQL
- Strong experience integrating and modeling data from ERP and CRM systems, including SAP, Oracle, SyteLine, and Salesforce
- Proficiency in SQL and Python for data transformation, analysis, and automation
- Experience building robust ETL/ELT processes and supporting data migrations at scale
- Solid understanding of data governance principles, metadata management, and data security best practices
- Excellent communication and collaboration skills with technical and business stakeholders
- Experience with Databricks Unity Catalog or other enterprise data cataloging solutions preferred
- Knowledge of real-time data processing and streaming architectures preferred
- Familiarity with Power BI or Tableau preferred
- Understanding of manufacturing, financial, and supply chain data domains preferred
- Experience with CI/CD practices, infrastructure automation, and DevOps for data solutions preferred
- Minimal reaching, lifting, and walking
- Consistent use of computer, telephone, typing, and talking
- Must be eligible to work in the United States; Pro Mach uses E-Verify for new hires
Benefits
Comp & perks- Comprehensive medical/dental programs
- Life insurance
- Generous paid time off program
- Retirement savings plan with a company match
- No waiting period for benefits; eligible on the first day of employment
- Growth opportunities
- Open, communicative work environment fostering individual initiative
- Reasonable accommodation for individuals with disabilities