Technical Architect - Data Architecture LSHCERU Industry

Tata Consultancy Services; San Francisco (CA); On-site; USD 171,000 - 232,000; Full time

Job summary

An established industry player is seeking a Technical Architect specializing in Data Architecture within the Life Sciences and Healthcare sectors. This role involves designing and implementing robust data architecture solutions, ensuring data governance, and optimizing performance for scalable data systems. Candidates will collaborate with cross-functional teams to align data strategies with business objectives while staying updated on the latest technologies. This is a fantastic opportunity for experienced professionals looking to make a significant impact in a dynamic environment.

Qualifications

• 5+ years of experience in data architecture with proven large-scale solution implementations.
• Strong knowledge of data governance, security, and privacy regulations.

Responsibilities

• Develop frameworks for databases, data warehouses, and data lakes.
• Oversee data integration from multiple sources and design data pipelines.

Skills

Data Modeling

SQL

NoSQL

Data Warehousing

Big Data Platforms

Cloud Services

ETL Tools

Data Visualization

Education

Degree in Computer Science

Degree in Information Systems

Degree in Engineering

Tools

AWS

Google Cloud

Job description

Technical Architect - Data Architecture LSHCERU Industry

Join to apply for the Technical Architect - Data Architecture LSHCERU Industry role at Tata Consultancy Services

Role Overview

This position focuses on designing and implementing data architecture solutions in the Life Sciences, Healthcare, Energy, Resources, or Utilities industry, with locations in San Francisco, CA / New York / New Jersey.

Responsibilities

1. Design Data Architecture: Develop frameworks, models for databases, data warehouses, data lakes, and ensure secure, scalable data storage.
2. Data Governance & Security: Maintain data quality, enforce security policies, and ensure compliance with regulations like GDPR, CCPA.
3. Data Integration: Oversee data integration from multiple sources, design data pipelines supporting batch and real-time processing.
4. Collaborate with Stakeholders: Work with Data Engineers, Data Scientists, Business Analysts, and IT teams to align data solutions with business needs.
5. Performance & Scalability: Optimize data systems for performance and plan for future growth.
6. Maintain Data Quality & Standards: Establish and monitor data standards, address data issues, and ensure consistency.
7. Data Modeling: Design enterprise data models and document data dictionaries.
8. Data Migration & Transformation: Lead migration efforts, define ETL processes.
9. Documentation & Reporting: Document architectures and project statuses for leadership.
10. Stay Updated with Technologies: Keep abreast of latest trends and evaluate new tools for data architecture.

Qualifications

• Degree in Computer Science, Information Systems, Engineering, or related field.
• Experience in Life Sciences, Healthcare, Energy, Resources, or Utilities industries.
• Strong skills in data modeling, SQL, NoSQL, data warehousing, big data platforms, cloud services, ETL tools, and data visualization.
• Knowledge of data governance, security, and privacy regulations.

Soft Skills & Experience

• Excellent communication, problem-solving, collaboration, leadership, and attention to detail.
• Over 5 years of experience in data architecture, with proven large-scale solution implementations.

Preferred Qualifications

• Cloud certifications (AWS, Google Cloud).
• Experience with machine learning, AI, containerization, and advanced analytics.

Additional Details

Salary Range: $171,275 - $231,725

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and IT

Industries: IT Services and Consulting