The End-to-End Data Services Partner to Global Brands and Enterprises We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Duties:
Formulate and communicate the organization's data strategy, including data quality standards, data flow, and data security measures
Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements
Define and implement data governance policies, procedures, and frameworks to ensure data integrity and compliance
Collaborate with stakeholders to align data strategy with business goals and objectives, document current and target state in the form of business process and data journey diagrams
Design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy
Define data standards, naming conventions, and data classification guidelines. Ensure data models are scalable, efficient, and optimized for performance
Evaluate and select appropriate database technologies and solutions based on organizational needs and requirements
Design and oversee the implementation of data platforms, including relational databases, NoSQL databases, data warehousing, and Big Data solutions
Optimize database performance, ensure data security, and implement backup and recovery strategies
Design data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, document source to target mappings
Collaborate with IT team and data experts to identify opportunities for data acquisition
Understand and follow data architecture patterns for various types of data systems, e.g. data lakehouse platforms, master data management systems, ML enriched data flows
Implement data profiling and data cleansing processes to identify and resolve data quality issues
Establish data quality standards and implement processes to measure, monitor, and improve data quality
Facilitate discussions and workshops to gather requirements and align data initiatives with business goals, prepare data inventory documentation
Communicate complex technical concepts effectively to both technical and non-technical stakeholders
Stay abreast of industry trends and emerging technologies in data management, analytics, and security
Evaluate and recommend new tools, technologies, and frameworks to enhance data architecture capabilities
Provide guidance and support to developers and other team members on data-related topics
Conduct knowledge-sharing sessions and training programs to promote understanding and adoption of data architecture best practices
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Proven experience as a Data Architect or in a similar role, ideally in a complex organizational setting
Strong understanding of data management principles, data modeling techniques, database design, and data integration flows
Experience in developing and implementing data governance policies, procedures, and frameworks to ensure data integrity and compliance
Familiarity with industry best practices and emerging trends in data management and governance
Ability to design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy
Strong understanding of data modeling best practices, e.g. data normalization,kakrc denormalization, generalization, and performance optimization techniques
Expertise in working with various database technologies, such as relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
Knowledge of database management systems, data warehousing, data integration technologies, and Big Data solutions
Familiarity with cloud-based database, warehouse, and lakehouse platforms
Experience in designing and implementing data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, understanding of data integration patterns and best practices
Understanding of Business Intelligence and data analytics requirements, optimization of data storage and processing for reporting needs
Excellent communication and presentation skills to effectively articulate complex technical concepts to both technical and non-technical stakeholders
Ability to collaborate with cross-functional teams, including business analysts, developers, and data scientists, to understand requirements and drive data-related initiatives
Strong analytical and problem-solving abilities to identify data-related issues, propose solutions, and make data-driven decisions
Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques
Knowledge of data security and privacy regulations, such as GDPR or CCPA, and understanding of data encryption, access controls, and data masking techniques to ensure the security of sensitive data
Professional certification in data management or related fields would be advantageous.
We offer:
Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites
