Proven experience in data architecture, particularly with Teradata and AWS/Redshift., Strong knowledge of data modeling, loading tools, and performance tuning in Teradata and Redshift., Experience with data integration and migration tools, as well as data governance strategies in cloud environments., Excellent analytical, problem-solving, and communication skills to collaborate with technical and business teams..
Key responsibilities:
Design and build scalable data architectures in Amazon Redshift.
Lead the migration of Teradata Data Warehouse to Redshift, ensuring data integrity and performance.
Collaborate with data engineering teams to develop data migration and transformation pipelines.
Document processes and technical decisions to ensure system traceability and scalability.
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Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results.
Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices
We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.
π Join Our Data Products and Machine Learning Development Remote Startup! π
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
Weβre looking for a Data Architect to help take our expertise to the next level. If you consider yourself a data nerd like us, weβd love to connect! πΆπ
π What We Do
Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
π Our Partnerships
Amazon Web Services
Astronomer
Databricks
π Our Values
π We are Data Nerds
π€ We are Open Team Players
π We Take Ownership
π We Have a Positive Mindset
π Curious about what weβre up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weβre working on! π
Responsibilities π€
Design and build complex and scalable data architectures in Amazon Redshift.
Lead the migration of the current Teradata Data Warehouse to Redshift, ensuring integrity, performance, and operational continuity.
Deeply analyze the data model and existing structures in Teradata to understand their logic, strengths, and optimization opportunities.
Identify improvement opportunities in the current architecture and efficiently translate them to the new cloud environment.
Collaborate with data engineering teams to develop data migration and transformation pipelines.
Apply best practices in relational data modeling, performance tuning, and schema design in Redshift.
Implement data governance strategies in the new environment, including access control, data lineage, and metadata management.
Work closely with technical and business stakeholders to align strategic requirements with the new data architecture.
Document processes, technical decisions, and recommendations to ensure system traceability and scalability.
Required Skills π»
Proven experience in data architecture in on-premise environments (especially Teradata) and cloud (preferably AWS/Redshift).
Strong knowledge of Teradata: data models, loading tools (TPT, FLOAD, MLOAD, FEXPORT), EXPLAIN analysis, Viewpoint, and Workload Management.
Experience in database design and modeling in Redshift (sort keys, distribution styles, spectrum, etc.).
Ability to analyze, translate, and adapt complex Teradata structures into optimized Redshift architectures.
Knowledge of data integration and migration tools (e.g., AWS DMS, Glue, Data Pipeline, etc.).
Experience in data governance, data quality, and security strategies in cloud environments.
Strong analytical and problem-solving skills, with a strong focus on performance and scalability.
Excellent communication skills to interact with technical, functional, and business teams.