Data Architect II (Analytics Engineering)
talabat
Posted on 9 Sep
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
What s On Your Plate?
As an Analytical Engineer and Data Architect, you will be responsible for:
1. Data Product Development & Ownership
- Build and Maintain: Design, build, and maintain enterprise data warehouses and analytical data marts.
- Translate Needs: Work closely with data scientists, product managers, and business teams to understand their problems and translate complex business requirements into robust data models and data products.
- End-to-End Responsibility: Take full ownership of data products from concept to production, ensuring they are scalable, reliable, and well-documented.
2. Data Quality & Governance
- Enhance Data Quality: Implement and enforce data quality and governance standards throughout the data pipeline, moving checks and enrichment upstream.
- Root Cause Analysis: Proactively identify data quality and governance shortfalls, perform root cause analysis, and implement solutions with monitoring mechanisms.
3. Cross-Functional Collaboration
- Collaborate: Partner with data engineers to ensure smooth data ingestion from source systems and with backend engineers to define and implement data contracts.
- Consult: Serve as a subject matter expert for analytical and business teams, guiding them on best practices for data consumption and model design.
4. Data Pipeline & Modeling Expertise
- Pipeline Management: Design and optimize data pipelines to support data transformation, data structures, metadata, and dependency management.
- Modern Modeling: Apply a variety of data modeling techniques, including modern methods, to build efficient and flexible data solutions.
Desired Candidate Profile
What Did We Order?
- Experience: 3+ years of experience in data management, with a strong focus on analytical engineering.
- Technical Skills: Advanced SQL knowledge and experience with relational and non-relational databases. Proficient in building and optimizing data pipelines and analytical data models.
- Data Modeling: Solid experience with various data modeling techniques, including modern methodologies.
- Center of Excellence: Build best practices and processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Problem-Solving: A strong problem-solver with a "figure it out" growth mindset and a "keep it simple" approach.
- Collaboration: Proven ability to work effectively with cross-functional teams in a dynamic environment. Excellent collaborator and communicator who can translate business needs into technical solutions.
- Ownership: A strong sense of ownership and accountability for data products and their impact.
- Education: Bachelor's degree in engineering, computer science, technology, or a similar field.
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- IT Software
Keywords
- Data Architect II (Analytics Engineering)
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