Data Architect - Associate
The Data Architect - Associate at Confidential Client is responsible for designing, implementing, and maintaining scalable and secure data infrastructures combining traditional relational databases and modern cloud-based big data tools. This entry-level role involves developing data models, pipelines, and warehouses while ensuring data quality and integration across cloud and on-premise systems, working under mentorship from senior architects. The position requires collaboration with stakeholders and application of project management methodologies to align data architecture solutions with organizational goals.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an entry-level Data Architect (Associate) to design, implement, and maintain traditional and modern data infrastructures. You’ll work on moderate-to-complex projects under the mentorship of senior architects and engineers to deliver scalable, efficient, and secure data models, pipelines, and warehouses.
- Design and implement relational and modern data architectures to support analytics and operational needs.
- Build and maintain ETL/ELT pipelines for batch and near-real-time data ingestion.
- Develop and document data models, data dictionaries, and integration patterns.
- Ensure data quality, security, and governance practices are followed across systems.
- Optimize database performance and query efficiency.
- Collaborate with stakeholders — product managers, analysts, engineers — to align data solutions to business needs.
- Use programming tools (SQL, Python, PySpark) and cloud/on-prem platforms to deploy solutions.
- Participate in code reviews, testing, and CI/CD practices for data workflows.
Skills & Tools
- SQL (advanced querying, performance tuning)
- Python, PySpark
- Traditional RDBMS (Oracle, SQL Server, Postgres)
- Cloud and modern data platforms (Snowflake, Databricks)
- Cloud providers: AWS, Azure, or Google Cloud Platform
- ETL/ELT tools: SSIS, Informatica, Azure Data Factory, Databricks
- Data modeling, data governance, and security best practices
- Familiarity with streaming technologies (Kafka, Kinesis) — preferred
- Experience with APIs and BI tools (Tableau, Power BI, Looker) — helpful
Qualifications
Minimum Qualifications
- Basic proficiency with SQL and experience with relational databases (Oracle, SQL Server, Postgres, Snowflake, Databricks).
- Introductory experience with one or more cloud platforms (AWS, Azure, GCP).
- Familiarity with programming for data engineering (Python, PySpark, or R).
- Foundational understanding of ETL/ELT processes and tools.
- Good communication skills and ability to work with cross-functional teams.
- Knowledge of Product/Project/Program Management philosophies to align technical work to business goals.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- Hands-on experience with Databricks, Apache Spark, and Delta Lake.
- Experience with data streaming (Kafka, AWS Kinesis, Azure Event Hubs).
- Experience designing or using APIs for data products.
- Familiarity with CI/CD for data workflows.
- Knowledge of data governance and privacy/compliance standards (e.g., GDPR, HIPAA).
- Experience with business intelligence tools (Tableau, Power BI, Looker).
Conditions & Compensation
- Location: Lake Park Building — Hunter / West Valley City area, UT
- Employment type: Full-time (40 hours/week)
- Pay range: $35.99 - $56.68 per hour (actual rate depends on experience)
- Physical requirements: Primarily desk/computer work; may remain sitting or standing for long periods.
- Benefits: Our client offers a comprehensive benefits package covering health, wellness, and professional development programs. Specific benefits and eligibility details are provided by the client during hiring.
Equal Employment & Accommodation Notice
Confidential Client and Careertakes are committed to equal employment opportunity. Qualified applicants will receive consideration without regard to protected characteristics. Reasonable accommodations are available for applicants with disabilities; please request accommodation by contacting the employer’s recruitment team during the application process.
Note on Hiring Process & AI
To support efficient and fair hiring, Careertakes and our client may use AI-assisted tools to help screen or prioritize applications. These tools do not replace human decision-making; final hiring determinations are made by people.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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