Azure Data Architect - freelance

Lever, Inc.; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Lever, Inc. is seeking an experienced Data Architect to drive data strategy, governance and scalable data models across enterprise systems. You will define standards, oversee ETL pipelines and partner with IT, analytics, and data science teams to ensure data quality and secure data flows.

The role emphasizes joining a collaborative data architecture function, leveraging cloud services, and shaping how data supports reporting and advanced analytics across the organization.

Qualifications

• 6+ years of professional experience in Data & Analytics.
• Experience as a Data Architect or similar role in complex organizations.
• Strong understanding of data management, modeling, integration and governance.
• Experience developing and implementing data governance policies and frameworks.
• Familiarity with best practices in data management and emerging trends.
• Ability to design conceptual, logical and physical data models aligned with strategy.
• Knowledge of GDPR/CCPA data security, privacy regulations and data masking techniques.
• Professional data management certification is advantageous.

Responsibilities

• Define and implement data governance policies and frameworks.
• Design conceptual, logical, and physical data models.
• Develop data standards, naming conventions and data classification guidelines.
• Oversee data integration solutions and ETL processes.
• Collaborate with IT and data science teams to optimize data platforms.
• Ensure data quality through profiling and cleansing efforts.
• Evaluate database technologies including relational and NoSQL.
• Lead discussions to align data initiatives with business goals.

Skills

Data Modelling

Data Management

Requirement Gathering

Data Processing

Technical Leadership

Data Quality

Azure Synapse

Azure Data Factory

Azure Data Lake

SQL & NoSQL

Programming: Python/PySpark/Scala

Data Security

Education

Data Management Certification

Tools

Azure Synapse

Azure Data Factory

Azure Data Lake

MongoDB

Cassandra

SQL Databases

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

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

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.