Data Architect

About the client:

The client is the leading Autonomous Decision Science company providing data-enabled prescriptive and anticipatory analytics and insights for companies across a broad range of industries. They automate a new way of problem-solving and decision-making, going beyond advanced analytics to understand data, perform analytics, generate insights, answer queries, and make decisions at the speed of the market. This powerful capability uniquely enables “End-to-End Value Chain Optimization and Decision-Making” at scale and allows clients to uncover and understand the inter-relationships that lead to innovative new product development and innovation, heightened consumer understanding and targeted marketing, revenue growth tactics, and intelligent demand and supply-chain planning. They help transform market-leading companies into true data-driven digital enterprises.

Timezone requirements: European working hours are okay; the client is in EST, and our team is in Europe.

English: Advanced level.

Requirements:

• Minimum of 7 years of relevant experience. Strong expertise in Data Modeling both OLTP/OLAP structures;
• Solid proficiency in SQL and familiarity with various databases;
• Expert in Azure cloud services;
• Expert in using Apache Airflow;
• Design databases, data warehouses, and data lakes(Data modeling);
• Proficient understanding of code versioning tools and CI/CD pipeline tools (e.g., Jira, BitBucket);
• Expertise with RESTful APIs (familiarity with FastAPI would be a plus);
• Strong understanding of data engineering and microservices architecture;
• Capable of translating requirements into logical and optimal code implementation.
• Proficient in Python programming language(Pandas, Numpy, PySpark).
• Experience working with raw client data in the domain of sales, sales data analysis, and working with customer/business requirements.
• Ability to analyze and optimize the current architecture and model structure.
• Understanding and implementation of various business metrics regarding data.
• Strong verbal and written communication skills, with an ability to effectively liaise with both technical and non-technical stakeholders;
• Highly organized with the ability to manage multiple tasks and projects within strict deadlines;
• Comfortable working in a fast-paced, remote environment;
• Detail-oriented, with a commitment to quality and accuracy in all tasks.

Preferred Qualifications:

• Experience in the consumer product goods industry or with large enterprises;
• Prior experience in quality assurance, business analysis, or systems analysis roles;
• Familiarity with UX/UI design principles and tools, with some experience in data visualization;
• Knowledge of cloud environments (e.g., AWS, Azure) is advantageous;
• Experience with the Snowflake data platform;
• Knowledge in Docker and K8s, Terraform, etc;
• Experience with Great Expectations would be a plus.

Responsibilities:

• Analyze data from various sources to support decision-making and product development;
• Develop documentation for data processes and results, ensuring that documentation standards are maintained;
• Create and maintain functional specifications;
• Collaborate with product owners, client services, and engineering teams to provide actionable insights;
• Use SQL and other database tools to review, test, and manage complex data sets and models;
• Participate in the development and refinement of client's products, ensuring data integrity and accuracy;
• Liaise with different teams to ensure alignment between the technical team and business objectives;
• Collaborate with the technical team to improve data visualization and user experience;
• Manage timely delivery of data-related tasks and projects;
• Participate in regular SDLC activities including estimation, status reporting, SCRUM sessions, and design meetings.

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.