Tremend is looking for a Data Engineer to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to figure out our client’s most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

As a Data Architect, your role will be instrumental in crafting and overseeing the data architecture and infrastructure for high-profile organizations. Collaborating closely with diverse teams, you'll grasp data needs, formulate strategies, and optimize data resources to empower insightful decision-making and enhance business strategies. Your proficiency will shape the data environment, guarantee data quality and security, and foster innovation in data management approaches.

Your Impact:

• Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that is aligned with technical and business needs.
• Data Modeling: Design and implement data models, including conceptual, logical, and physical models, to support business needs and data analytics.
• Data Governance: Establish and enforce data governance policies, standards, and procedures to ensure data accuracy, consistency, and security.
• Data Integration: Create data integration solutions to connect and synchronize data across various systems and platforms.
• Master Data Management (MDM): Implement and maintain MDM practices to ensure the consistency and quality of master data across the organization.
• Data Security: Define and implement data security measures, including access controls, encryption, and data masking, to protect sensitive data assets.
• Data Quality Assurance: Oversee data quality assessments and initiatives, including data profiling, data cleansing, and data validation.
• Data Architecture Documentation: Maintain comprehensive documentation of data models, data flows, and data dictionaries, TOGAF and ArchiMate knowledge is a plus.
• Database Management: Manage and optimize relational and non-relational databases, including performance tuning and scalability planning.
• Data Storage Solutions: Evaluate and select appropriate data storage solutions, including data warehouses, data lakes, and cloud storage.
• Data Migration: Lead data migration projects, ensuring seamless transitions between systems while preserving data integrity.
• Data Analysis Support: Collaborate with data analysts and data scientists to provide high-quality data for analytics and reporting purposes.

Your Skills & Experience:

• Proven experience as a Data Architect or in a similar role.
• Strong expertise in data modeling, database design, and data warehousing concepts.
• Proficiency in data integration tools and technologies.
• Knowledge of data governance, data quality, and data security best practices.
• Familiarity with both relational and NoSQL database systems.
• Experience with cloud-based data solutions (e.g., AWS, Azure - Azure data factory, Delta lake, ADLS,Azure infrastructure, Azure EventHub/Kafka, GCP, ).
• Awareness of data modeling tools (e.g., ERWin, ErStudio, or similar).
• Handson experience with  Python, PySpark.
• Excellent problem-solving and communication skills.
• Strong project management and leadership abilities.