Data Architect (Google Cloud Platform)

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:

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.​
• Minimum of 2 years of experience as a Data Architect or in a similar role, designing and implementing data solutions.​
• 3+ years of experience working with Google Cloud Platform (GCP) using tools like Cloud Storage, Dataflow, and BigQuery for data storage, processing, and consumption.​
• 5+ years of experience with ETL/ELT processes, maintenance, and performance analysis.​
• Advanced understanding of big data, data warehouse, and data lake concepts.​
• Familiarity with Data Governance.​
• Extensive expertise in database management, with proficiency in SQL and NoSQL databases.​
• In-depth knowledge of big data technologies, including Spark and Hadoop.​
• Strong skills in data modeling, normalization, and denormalization techniques.​
• Experience in data migration from on-premise to cloud and between cloud environments.​
• Excellent problem-solving and analytical abilities.​
• Strong communication and collaboration skills.​
• High 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.

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

All your information will be kept confidential according to EEO guidelines.

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

*Benefits may vary according to your location and/or availability. Request further information when applying.