Informacje o stanowisku

Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups from all industries, to help them scale and accelerate their businesses. We are unique in Polands IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.

We are looking for a Senior Data Architect to join our team!

Your role in the project:

1. Data Source Discovery : 

• Lead efforts to identify and discover relevant data sources within the organization. 
• Collaborate with stakeholders to understand potential data sources and evaluate their suitability for integration into the data architecture. 
• Develop strategies and processes to efficiently discover and onboard new data sources to enrich the organizations assets. 

1. Data Mapping:  

• Design and implement data mapping processes to ensure seamless integration and interoperability across various data sources and systems. 
• Develop and maintain documentation related to data mapping processes, schemas, and transformations. 

1. Data Architecture and Optimization : 

• Optimize data architecture performance by tuning configurations, refining code, and adhering to industry best practices. 
• Proactively monitor data architecture environments for performance, reliability, and scalability, implementing necessary measures to address issues swiftly. 
• Provide architectural assessments, strategies, and roadmaps for data management, ensuring alignment with organizational objectives. 

1. Data Management, Governance and Compliance:  

• Implement data governance practices within Databricks to ensure data quality, integrity, and security. 
• Develop and maintain data management procedures to govern the data lifecycle from acquisition to disposal, ensuring compliance with regulatory requirements and industry standards. 
• Conduct regular audits and assessments of data management processes and systems to identify areas for improvement and mitigate risks. 
• Enforce data compliance policies and standards to meet regulatory requirements and industry best practices. 

1. Collaboration and Support:  

• Work closely with cross-functional teams, including data engineering, data science, and business intelligence, to support their data needs and initiatives. 
• Provide technical expertise and support to troubleshoot and resolve data-related issues on time. 

If you possess...

• Proven experience as lead data architect in projects aiming at designing data architecture and implementing data mapping solutions across complex enterprise environments. 
• Strong understanding of data warehousing concepts, ETL processes, and data integration patterns. 
• Familiarity with data governance frameworks and practices. 
• Proficiency in programming languages such as Python, Scala, or SQL for data manipulation and transformation. 
• Hands-on experience with the Databricks platform will be an asset 
• Experience with cloud platforms such as Salesforce, Zendesk, Soho, Infocom will be an asset. 
• Excellent problem-solving skills and ability to work independently as well as part of a team. 

Preferred Qualifications:

• Certification in Databricks or related technologies.
• Familiarity with DevOps practices and CI/CD pipelines.

… then we are looking for you!

We work 100% remotely or from our hub in Wrocław.

We grow fast.

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