Data Architect – Databricks
Allata
AirflowAWSAzureCloudETLGrafanaJenkinsMS SQL ServerOraclePostgresPrometheusPySpark+4 more
Data Engineer
Grainger
full-time
Posted on:
Location: Wisconsin • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAWSAzureBigQueryCloudETLMS SQL ServerMySQLPostgresPythonSQLTableau
About the role
- Recommend and implement data architecture and accessibility strategies to ensure scalability, reliability, and value creation.
- Collaborate with stakeholders to align enterprise and data architectures, maximizing the value of organizational data.
- Create and maintain logical data models and physical database designs for analytics ecosystems.
- Design and develop data warehouses and implement ETL (Extract, Transform, Load) processes.
- Build and maintain business intelligence (BI) solutions to support enterprise-wide decision-making.
- Establish and execute system performance assessments, recommending infrastructure improvements as needed.
- Develop standards, process flows, and tools for mapping data sources, documenting interfaces, and tracking data movement.
- Define governance practices and metadata standards to ensure accuracy, consistency, and reusability of enterprise data.
- Support integration of machine learning and big data technologies into infrastructure to drive innovation.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, or a related field
- 3+ years of experience in data architecture or 5+ years in equivalent data-related roles
- Proficiency with ETL tools and frameworks
- Strong SQL skills; experience with R and Python for data transformation and analysis
- Experience with relational databases such as MySQL and PostgreSQL
- Knowledge of BI tools such as Power BI, Tableau, or equivalent
- Excellent problem-solving, communication, and collaboration skills
- Preferred: Certifications such as ABDE, AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Azure Data Engineer Associate
- Preferred: 5+ years as a data engineer with expertise in MS SQL Server, Snowflake, AWS RedShift, and Google BigQuery
- Preferred: Experience integrating machine learning toolkits into data infrastructure
- Preferred: Familiarity with big data technologies
- Preferred: Strong understanding of data modeling, data taxonomy, and data governance practices
