Data Architect

Location: Remote

About the Role

We are looking for a highly skilled Data Architect to design and implement scalable and efficient data architectures that meet the needs of the business while complying with all relevant regulations. As a Data Architect, you will play a crucial role in ensuring data integrity, security, and accessibility across systems and platforms, driving the success of business objectives through effective data management.

Your Profile

• Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. A Master’s degree or specialization in data architecture is a plus.
• Certifications: Certified Data Management Professional (CDMP), Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Architect, or AWS Certified Solutions Architect (preferred).
• Experience: 5 to 10 years in data management or database architecture, with at least 3 to 5 years of hands-on experience in data architecture, including designing data models, creating data warehouses, and managing complex data systems.
• Key Skills:
• Data Architecture & Database Design
• Data Integration & ETL Processes
• Data Security & Privacy Management
• Cloud Computing (AWS, Azure, Google Cloud)
• Data Governance & Compliance
• Data Modeling & Data Warehousing
• Big Data Technologies (Hadoop, Spark)
• Business Intelligence & Analytics Support
• Data Quality & Performance Optimization
• Data Pipeline Development

Your Responsibilities

• Design and Develop Data Architecture: Develop scalable and efficient data architectures that align with business goals, ensuring data integrity and accessibility.
• Data Integration & Management: Lead integration efforts across systems, ensuring smooth data flow and data quality through data pipelines for ingestion, transformation, and storage.
• Data Security & Privacy: Implement security measures to protect sensitive data, ensuring compliance with regulations such as GDPR and HIPAA. Work with cybersecurity teams to prevent unauthorized access and data loss.
• Collaboration with Business & IT Teams: Collaborate closely with business analysts, developers, and stakeholders to understand requirements and design data systems that meet their needs. Communicate complex data-related concepts to non-technical audiences.
• Optimization & Troubleshooting: Continuously monitor and optimize database performance, troubleshoot scalability issues, and recommend improvements to the database architecture.
• Data Governance: Establish frameworks for data governance, define roles for data stewardship, and ensure high data quality, standardization, and compliance.
• Ensure Data Quality: Implement strategies to ensure data is accurate, complete, and reliable, using data validation rules and workflows.
• Documentation & Reporting: Maintain comprehensive documentation on data architectures and workflows. Provide reports and presentations to stakeholders on progress and data performance.
• Stay Updated on Technology Trends: Keep current with advancements in data management technologies, incorporating new tools and techniques to enhance data systems.
• Support Data Analytics & Business Intelligence: Ensure data systems are structured to support business intelligence and analytics tools, enabling data-driven decision-making.

What We Offer

• A challenging role where you will directly impact the organization’s ability to make data-driven decisions and drive business growth.
• Opportunities to work with cutting-edge technologies in cloud computing, big data, and business intelligence.
• A collaborative work environment that encourages innovation and personal development.
• Competitive compensation and benefits packages.

Next Steps

To apply, please submit your resume through our ATS platform. Shortlisted candidates will be contacted within 5-7 working days. Due to high application volumes, only successful applicants will be contacted.

Skills

Technical Skills

1. Data Architecture Design: Expertise in designing scalable, efficient, and secure data architectures, including both relational and non-relational databases.
2. Data Modeling: Proficiency in logical and physical data modeling, with experience using tools like Erwin, IBM InfoSphere, or Microsoft Visio.
3. ETL (Extract, Transform, Load): Strong understanding of ETL processes and hands-on experience with tools such as Apache NiFi, Talend, Informatica, or Apache Airflow.
4. Cloud Technologies: Familiarity with cloud-based data architectures using platforms like AWS, Google Cloud, or Microsoft Azure for building scalable and secure data environments.
5. Big Data Technologies: Experience with tools and frameworks like Hadoop, Spark, and Kafka for large-scale data processing and real-time data streaming.
6. Database Technologies: Expertise in working with various database systems, including SQL (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and NewSQL databases.
7. Data Warehousing: Knowledge of building and maintaining data warehouses using platforms like Snowflake, Amazon Redshift, or Google BigQuery.
8. Data Integration Tools: Familiarity with tools for integrating and managing data across systems, such as Apache Kafka, MuleSoft, or Informatica.
9. Data Security & Privacy: Experience implementing data security measures and ensuring compliance with privacy regulations (e.g., GDPR, HIPAA).
10. Performance Optimization: Ability to monitor and optimize database performance, ensuring systems are scalable and efficient as business needs evolve.

Analytical & Business Skills

1. Business Intelligence: Understanding of how data systems support analytics, reporting, and business intelligence tools like Power BI, Tableau, or Looker.
2. Data Governance: Experience establishing data governance frameworks to maintain high data quality, standardization, and compliance across the organization.
3. Data Quality Management: Expertise in implementing processes and rules to ensure data accuracy, completeness, and reliability across systems.
4. Problem Solving: Strong problem-solving skills to troubleshoot and resolve issues related to database performance, data flow, or system integration.
5. Collaboration & Communication: Ability to work effectively with cross-functional teams, including business analysts, developers, and executives. Ability to communicate complex data-related concepts to non-technical stakeholders.

Soft Skills