Data Architect
Quick Summary
NovaSphere Analytics is hiring a Data Architect to design and implement robust data models and scalable infrastructure that power advanced analytics, reporting, and machine learning. The role is ideal for individuals who enjoy building data frameworks, ensuring data quality, and enabling teams across the business to access accurate and reliable insights.
Project Category or Industry
Data engineering, business intelligence, and enterprise technology.
Type
Full-time employment.
Experience Level
Entry to mid level, with mentoring available for fresh graduates and the opportunity for experienced professionals to lead complex projects.
Duration
Permanent and long-term.
Location
Hybrid work model with remote flexibility and quarterly onsite collaboration in Chicago. Candidates across North America are encouraged to apply.
Salary
USD 100,000–130,000 annually depending on experience, with comprehensive benefits and annual performance bonuses.
Payment Mode
Monthly salary with performance-based incentives.
Hiring Company Name
NovaSphere Analytics.
Required Skills or Tools
Candidates should demonstrate expertise in SQL and database design, with strong knowledge of data modeling principles and ETL development. Experience with cloud platforms such as AWS, GCP, or Azure is essential. Familiarity with big data frameworks like Hadoop or Spark, and proficiency in tools such as dbt or Airflow, is considered a strong advantage.
Project Description
The role involves designing the company’s data architecture to ensure scalability, security, and efficiency in handling large and complex datasets. The Data Architect will play a key role in enabling the company’s analytics and machine learning teams by creating structured and accessible data environments.
Core Responsibilities and Expected Deliverables
The Data Architect will be responsible for defining data models, building and optimizing data warehouses, and establishing standards for data governance and quality. Deliverables will include well-documented architecture diagrams, automated ETL workflows, and resilient data pipelines that support business intelligence and predictive modeling.
Required Experience and Preferred Qualifications
A bachelor’s degree in computer science, information systems, or a related field is required. Candidates should have hands-on experience in data architecture, with a strong understanding of relational and non-relational databases. Preferred qualifications include cloud certifications, prior experience in enterprise-scale data infrastructure, and exposure to data governance frameworks.
Tools or Platforms to Be Used
SQL, dbt, Airflow, Python, Hadoop, Spark, and Git. Cloud services such as AWS Redshift, GCP BigQuery, or Azure Synapse will form the core of the technology stack.
Language Requirement
English proficiency is required for both written and verbal communication.
Communication Style
Team collaboration will take place via Slack and Zoom, with Jira used for task management and email for formal project updates.
Time Commitment or Working Window
A standard 40-hour work week is required, with flexible scheduling provided there is overlap with central US business hours.
Payment Terms
Compensation is structured as a fixed monthly salary with annual bonuses tied to company performance and project outcomes.
Evaluation Criteria
Candidates will be assessed based on their portfolio of architecture work, technical interview performance, and ability to communicate complex design decisions. Strong analytical thinking and attention to scalability and governance will be major criteria.
Other Requirements
Employees must sign a confidentiality agreement and comply with company data governance policies. All work will be version-controlled and peer-reviewed to maintain quality standards.
About the Company
NovaSphere Analytics is a data-focused technology company that helps organizations build modern data ecosystems for analytics and machine learning. Headquartered in Chicago with a distributed team, NovaSphere specializes in data architecture, engineering, and strategy for industries including healthcare, retail, and financial services. The company is committed to delivering secure, scalable, and impactful solutions while fostering innovation and continuous professional growth. More information can be found at https://novasphereanalytics.com or by contacting careers@novasphereanalytics.com.