Azure Data Architect

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Tasks

• 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 lake 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 

• At least 6 years of professional experience in the Data & Analytics area 

• 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, 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, understanding of data encryption, access controls, and data masking techniques to ensure the security of sensitive data. 

• Professional certification in data management or related field would be advantageous.

Must have skills: 

• Data Modelling and Design

• Data Management

• Requirement Gathering and Analysis

• Data Processing

• Technical Leadership  

• Data Quality

• Azure Services – Synapse, ADF, ADL

• Technical Implementation and Monitoring

• One of: Python / Pyspark / R / Scala

Nice to have skills: 

• CI/CD Automation

• GenAI for Data Engineering

We offer:

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

• “Office as an option” model. You can choose to work remotely or in the office.  

• Workation. Enjoy working from inspiring locations in line with our workation policy. 

• Great Place to Work® certified employer.

• Flexibility regarding working hours and your preferred form of contract.  

• Comprehensive online onboarding program with a “Buddy” from day 1.   

• Cooperation with top-tier engineers and experts.  

• Unlimited access to the Udemy learning platform from day 1.

• Certificate training programs. Lingarians earn 500+ technology certificates yearly. 

• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

• Grow as we grow as a company. 76% of our managers are internal promotions.  

• A diverse, inclusive, and values-driven community.   

• Autonomy to choose the way you work. We trust your ideas.  

• Create our community together. Refer your friends to receive bonuses.  

• Activities to support your well-being and health.

• Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing. 

• Plenty of opportunities to donate to charities and support the environment.  

• Modern office equipment. Purchased for you or available to borrow, depending on your location.