Proven experience as a Data Architect or similar role., In-depth knowledge of database principles and Modern Data Architecture., Solid understanding of Python and cloud-based data management services., Excellent communication skills and ability to work in a team..
Key responsabilities:
Lead the design and development of data architectures for clients.
Conduct discovery sessions to understand client needs and design solutions.
Define implementation plans and project roadmaps.
Research new technologies and develop proof of concepts for customer needs.
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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€
Lead the design and development of data architectures and systems for our customers.
Lead a Discovery Squad to understand clientβs needs, objectives, current data architecture, systems and design potential solutions to implement.
Define plans and strategies to implement solutions.
Participate in defining the roadmap, timelines, and estimates for new projects.
Research new technologies and implement PoCs to solve a wide variety of customer needs.
Building and maintaining Modern Data Architecture.
Required Skills π»
Proven work experience as a Data Architect, Lead Data Engineer, Cloud Engineer, or similar roles.
In-depth understanding of database principles (relational such as PostgreSQL and non-relational).
Deep knowledge of Modern Data Architecture including implementation of Data Warehouses and Data Lakes.
Knowledge of data processing ETL/ELT workflows (eg: Airflow).
Understanding Big Data technologies and applications (eg: Snowflake, Hive, Spark).
Solid understanding of Python programming language and one other strongly typed language.
Knowledge of data modeling.
Hands-on experience working with cloud based data management and processing services (AWS Athena, S3, Glue, EMR, Google BigQuery, etc).
Capacity to develop implementation plans weighting the pros and cons of different alternatives.
Ability to interpret and implement customersβ technical requirements.
Experience setting up data processing architectures from scratch.
Great capacity for teamwork.
Solid command of the English language for writing technical documents such as Design Documents or Architectural Design Records.
Nice to Have Skills π
Experience with streaming technologies (Kafka, Kafka Connect, Flink, Kinesis).
Experience working with the Modern Data Stack.
Deep knowledge of software development methodologies.
Experience implementing Machine Learning based systems (ML model lifecycle, monitoring, etc.).
Understanding of DevOps principles and implementations (CI/CD, gitops, etc).
Positive problem-solving attitude.
Excellent communication skills.
Experience working in client-facing tech consultancy roles.A proven track record of delivering high-quality solutions.
Certification in cloud platforms (such as AWS Solutions Architect).