Responsibilities
- Design and develop data architectures and models to support business needs.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data integrity, security, and compliance with industry standards and regulations.
- Lead the development and implementation of data governance policies and procedures.
- Provide technical guidance and mentorship to junior team members.
- Optimize data storage and retrieval processes to enhance performance and efficiency.
- Work with data engineers and analysts to integrate data from various sources.
- Develop and maintain data dictionaries and metadata repositories.
- Conduct data modeling and design reviews to ensure best practices are followed.
- Implement data warehousing and ETL (Extract, Transform, Load) processes.
- Support the development of data-driven applications and dashboards.
- Monitor and troubleshoot data-related issues and provide timely resolutions.
- Stay updated with the latest trends and technologies in data architecture.
- Participate in the design and implementation of data lakes and data warehouses.
- Ensure data quality and consistency across all systems and platforms.
- Collaborate with IT teams to integrate data solutions with existing infrastructure.
- Develop and maintain documentation for data architectures and processes.
- Conduct performance tuning and optimization of data systems.
- Support the development of data governance frameworks and policies.
- Provide technical expertise in data modeling and database design.
- Work with business units to align data strategies with organizational goals.
- Implement data security measures to protect sensitive information.
- Conduct data audits and assessments to ensure compliance with standards.
- Support the development of data analytics and reporting tools.
- Provide technical support for data-related projects and initiatives.
Nice to Have
- Master's degree in a relevant field.
- Certification in data architecture or related field.
- Experience with machine learning and AI technologies.
- Familiarity with data science and statistical analysis.
- Experience with data virtualization and federation.
- Knowledge of data lineage and metadata management.
- Experience with data cataloging and data discovery tools.
- Familiarity with data privacy and protection regulations.
- Experience with data governance and compliance frameworks.
- Knowledge of data warehousing best practices and standards.
- Experience with data integration and ETL tools.
- Familiarity with data modeling and database design tools.
- Experience with data analytics and reporting tools.
- Knowledge of data security and encryption techniques.
- Experience with data governance and compliance tools.
- Familiarity with data warehousing and data lake solutions.
- Experience with data-driven decision-making and analytics.
- Knowledge of data governance and compliance best practices.
- Experience with data integration and migration projects.
- Familiarity with data quality and data cleansing processes.
- Knowledge of data warehousing and ETL best practices.
- Experience with data governance and compliance frameworks.
- Familiarity with data analytics and business intelligence tools.
- Experience with data-driven decision-making and analytics.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Collaborative and innovative team environment
What We Offer
- A competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and innovative team environment.
- The chance to work on cutting-edge data projects.
- Flexible work arrangements and hybrid work options.
- Access to the latest tools and technologies in data architecture.
- A supportive and inclusive work culture.
- Opportunities to work on high-impact projects.
- A focus on continuous learning and improvement.
- The ability to make a significant impact on the organization's data strategy.
Our Ideal Candidate
- A self-motivated individual with a strong passion for data.
- Someone who thrives in a collaborative and innovative environment.
- An individual with a proven track record in data architecture and design.
- A problem solver with strong analytical and technical skills.
- Someone who is detail-oriented and committed to data quality and integrity.
- An individual with excellent communication and interpersonal skills.
- A team player who can work independently and in a team setting.
- Someone who is adaptable and can manage multiple projects and priorities.
- An individual with a strong commitment to continuous learning and improvement.
- Someone who is passionate about staying updated with the latest trends and technologies in data architecture.
Not provided
