We are seeking an experienced Data Architect to design, build, and manage our data architecture and solutions. As a Data Architect, you will play a key role in defining how data is collected, stored, processed, and analyzed within our organization. You will collaborate with stakeholders from across the business to ensure that our data infrastructure meets both business needs and technical requirements. This is an exciting opportunity for a strategic thinker to shape the future of our data architecture.

Key Responsibilities:

1. Data Architecture Design:

   • Design and implement data architectures to support scalable, efficient, and secure data management.
   • Develop data models, database structures, and data pipelines to meet business and technical requirements.
   • Choose appropriate technologies and tools to manage data across multiple platforms (e.g., on-premise, cloud, hybrid).

2. Data Integration:

   • Architect and build data integration solutions to bring together data from diverse systems and sources.
   • Ensure data consistency and quality across multiple platforms and applications.

3. Data Governance and Security:

   • Implement best practices for data governance, privacy, and security across all data initiatives.
   • Ensure compliance with regulatory requirements (e.g., GDPR, HIPAA, CCPA) and internal data policies.

4. Collaboration and Stakeholder Engagement:

   • Work closely with business analysts, data engineers, and data scientists to understand data requirements and translate them into architectural solutions.
   • Partner with IT, security, and compliance teams to ensure data systems align with organizational goals.

5. Cloud and Big Data Solutions:

   • Design and implement cloud-based data solutions using platforms such as AWS, Azure, or Google Cloud.
   • Build architectures to handle big data workloads, ensuring scalability and performance.

6. Data Optimization:

   • Continuously monitor, evaluate, and improve data architectures to enhance system performance and reduce costs.
   • Optimize data storage and retrieval processes for efficiency and speed.

7. Documentation and Standards:

   • Maintain detailed and up-to-date documentation for data models, architectures, and solutions.
   • Establish and enforce data architecture standards, guidelines, and best practices across the organization.

Qualifications:

1. Education and Experience:

   • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
   • 7-10 years of experience in data architecture, data engineering, or related roles, with a proven track record in designing and implementing data systems.

2. Technical Skills:

   • Proficiency in database design and data modeling (e.g., relational, NoSQL, graph databases).
   • Strong experience with data integration tools, ETL processes, and data pipelines.
   • Expertise with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark, etc.).
   • Familiarity with data warehousing and business intelligence tools.
   • Strong knowledge of SQL, as well as scripting languages (Python, Java, etc.).

3. Knowledge and Competencies:

   • In-depth understanding of data governance, privacy, and security best practices.
   • Knowledge of data storage techniques, including data lakes, data marts, and data warehouses.
   • Experience designing architectures for high availability and disaster recovery.

4. Soft Skills:

   • Strong analytical and problem-solving skills.
   • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
   • Ability to work collaboratively in cross-functional teams.
   • Strong project management skills and the ability to prioritize tasks and manage deadlines.

Preferred Qualifications:

• Certifications in data architecture or cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of machine learning models and data science methodologies.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and certifications.
• A collaborative and dynamic work environment.
• The chance to shape the future of our data infrastructure and architecture.

Posted On: Friday, January 17, 2025