Data Architect
Irvine, California, United States of America
Contract
2 weeks ago
$80 - $85 USD
Key skills
PythonSQLMachine LearningTensorFlowscikit-learnMLOpsETLData EngineeringAnalyticsBITableauPower BIAWSSQL ServerGitHubVersion ControlAgileScrumStakeholder ManagementCommunicationCollaboration
About this role
Title : Technology Architect / Data Scientist
Location : Irvine, CA 92618( Onsite-Hybrid)
Role Overview:
We are looking for a highly experienced Technology Architect / Data Scientist with strong expertise in analytics, Python, and AWS. The ideal candidate will have deep experience in data science, big data processing, and solution architecture, along with the ability to work independently and deliver high-quality analytical solutions within the financial services domain.
Key Responsibilities:
Data Science & Analytics:
- Perform in-depth data analysis to extract actionable insights from large datasets.
- Develop and deploy machine learning and statistical models.
- Work with structured and unstructured data using Python and PySpark.
- Interpret data trends and provide recommendations to business stakeholders.
Solution Architecture:
- Design and implement scalable analytics solutions and data pipelines.
- Define data models, workflows, and architecture aligned with business requirements.
- Ensure performance, scalability, and reliability of analytics systems.
Development & Engineering:
- Develop high-quality, maintainable code using Python.
- Build and optimize ETL pipelines and data processing frameworks.
- Work extensively with SQL Server for querying and data manipulation.
Cloud & Platform Management:
- Utilize AWS services for data storage, processing, and analytics solutions.
- Optimize cloud infrastructure for cost, performance, and scalability.
Domain & Business Understanding:
- Apply financial services domain knowledge to build relevant analytics solutions.
- Understand business requirements and translate them into technical deliverables.
Collaboration & Agile Execution:
- Work in an Agile/Scrum environment and participate in all ceremonies.
- Collaborate with cross-functional teams including developers, QA, and business analysts.
- Use tools like GitHub and qTest for version control and test management.
Communication & Reporting:
- Communicate technical concepts and analytical findings to stakeholders.
- Prepare documentation, dashboards, and reports for decision-making.
Required Skills:
- 10+ years of experience in Data Science / Analytics / Data Engineering.
- Strong hands-on expertise in Python and PySpark.
- Experience with AWS cloud services.
- Proficiency in SQL Server and advanced SQL querying.
- Strong analytical, problem-solving, and data interpretation skills.
- Excellent communication and stakeholder management skills.
Preferred Skills:
- Experience in Financial Services domain.
- Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, etc.).
- Familiarity with data visualization tools (Tableau, Power BI).
- Exposure to big data technologies and distributed systems.
- Understanding of MLOps and model deployment.
Tools & Technologies:
- Languages: Python, SQL
- Frameworks: PySpark, Machine Learning Libraries
- Cloud: AWS
- Database: SQL Server
- Tools: GitHub, qTest
- Methodologies: Agile / Scrum
Top 3 Responsibilities:
- Independently perform data analysis and deliver actionable insights.
- Design and implement scalable analytics solutions using Python and AWS.
- Collaborate effectively using Agile methodologies and SLM tools.
Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, or related field.
- Relevant certifications in AWS or Data Science (nice to have).
Key Competencies:
- Strong analytical and problem-solving skills
- Solution-oriented mindset
- Excellent communication and collaboration
- Ability to work independently and lead initiatives