Technical Data Architect – ETL/Big Data
Innovatily is seeking a skilled and experienced Technical Data Architect to join our team of awesome engineers. The ideal candidate should have a strong background in Cloud Architecture, ETL (Extract, Transform, Load), Big Data Architecture, and experience in designing scalable databases to deliver analytics. The candidate should have proficiency in MEAN/MERN/Python and experience in ETL platforms is a must-have. As a Technical Data Architect, you will play a critical role in shaping our data infrastructure, ensuring its efficiency, scalability, and :
- Design and implement data architecture strategies that support the customer's data-driven initiatives. Should have ownership of solution design that meets the objectives.
- Develop and maintain cloud-based data solutions, leveraging platforms such as AWS, Azure, or GCP.
- Create and manage ETL processes to move and transform data from various sources into a structured format for analysis. Work with analysts to understand data sources, and attributes, and devise mechanisms for ETL.
- Build and maintain scalable big data architectures that can handle vast amounts of data while ensuring performance and reliability. Oversee development is in line with the design.
- Design and optimize databases to handle analytical workloads, ensuring data availability and performance.
- Utilize /Python stacks for data processing, analytics, and reporting.
- Implement, manage, and optimize ETL platforms, ensuring data integration and transformation processes are efficient and error-free.
- Implement data security measures to protect sensitive information, ensuring compliance with relevant regulations.
- Establish and enforce data governance practices to ensure data quality, integrity, and compliance with data standards.
- Create and maintain documentation for data architecture, ETL processes, and data flows.
- Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand and address data requirements.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- With more than 10+ years of proven experience as a Data Architect with expertise in cloud architectures, ETL, and big data solutions.
- Proficiency Python stacks.
- Strong experience with ETL platforms and tools.
- Knowledge of data modeling, database design, and performance optimization.
- Excellent problem-solving and communication skills.
- Strong project management and leadership abilities.
- Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer) are a plus
- Data Warehouse Architecture and implementing data pipelines to aggregate data from multiple sources, building data lakes and transformation strategies would be key