Data Architect

About you

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You bring to Applaudo the following competencies:

• Desirable Bachelor’s Degree or higher in Computer Science, Computer Engineering or related field.
• Minimum of 2 years of experience in a Data Architect or similar role, designing and implementing data solutions
• 3+ years of experience working in Google Cloud Platform.
• Experience working with Azure, AWS, Snowflake, and others for data store, data processing and data consumption.
• 5+ years of experience working with ETL/ELT maintenance processes and performance analysis.
• Advanced understanding of big data, data warehouse, and data lake concepts.
• Extensive expertise in database management, SQL, and NoSQL databases.
• Strong proficiency in Python, Scala, Java, etc., for developing ETL/ELT processes.
• In-depth knowledge of big data technologies such as Spark and Hadoop.
• Strong skills in data modeling, normalization, and denormalization techniques.
• Experience with data migration from on-premise to cloud and cloud-to-cloud environments.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Attention to detail and a commitment to delivering high-quality solutions.

You will be accountable for the following responsibilities:

• Develop and design data architecture solutions that support the organization's objectives and requirements.
• Create conceptual, logical, and physical data models to ensure data accuracy, consistency, and accessibility.
• Work closely with technical and business teams to understand their needs and translate them into data solutions.
• Establish data governance frameworks, policies, and procedures to ensure data quality, security, and compliance.
• Design and implement data integration processes to enable seamless data flow across systems and platforms.
• Optimize data storage, retrieval, and processing performance to meet performance and scalability requirements.
• Document data architecture designs, standards, and processes to facilitate knowledge sharing and maintain consistency.
• Implement data security measures and protocols to protect sensitive information from unauthorized access or breaches.
• Supervise and propose ETL/ELT development practices to be followed by the development team.
• Monitor data systems and infrastructure, troubleshoot issues, and perform regular maintenance to ensure optimal performance and reliability.
• Identify areas for improvement in data architecture and processes, and lead initiatives to implement enhancements and optimizations
• Aid project managers and SDLs understand technical resources.
• Participate in client's presentations assisting the project management.
• Be the point of contact between the team and Data Practice Lead to communicate and follow up on the necessities of the team related to tools and training.

Requirements

- Google Cloud Platform.
- Strong Python coding skills.
- ETL/ELT.
- SQL.
- Data solutions design and implementation.
- Big data, data warehouse, data lake.