8 часов назад
Principal Architect (Data Architecture)
160 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Architect (Data Architecture) (Data Platforms/BI): Designing data architectures, pipelines, data stores, and analytical solutions for client projects with an accent on data modeling, data mapping, and platform selection. Focus on deploying and troubleshooting pipelines across legacy and cloud environments, tuning database performance, and translating business requirements into technical specifications.
Location: Remote, United States
Salary: USD 160,000–240,000 yearly
Company
is a technology consulting and engineering company that partners with brands to create digital platforms and intelligent digital experiences.
What you will do
- Coordinate with internal stakeholders, clients, and external stakeholders to define project scope, system goals, and requirements.
- Translate business requirements into technical specifications for data consumption and use.
- Recommend suitable data platforms, repositories, and databases for project requirements.
- Map data attributes across domain models and produce data models, diagrams, flowcharts, and requirements for developers and testers.
- Deploy and troubleshoot data pipelines across legacy, modern, and cloud-based environments.
- Participate as a contributor in agile and Scrum ceremonies while collaborating with technical leads, developers, and client solutions teams.
Requirements
- 5+ years of varied technical experience designing and developing data pipelines and data stores.
- Experience designing data architectures for business intelligence and analytical use cases, including data modeling, data mapping, data warehouses, and data marts.
- Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI, and extensive SQL.
- Experience with relational and non-relational databases such as Oracle, Microsoft SQL Server, DynamoDB, MongoDB, PostgreSQL, Redis, ElastiCache, and GraphQL.
- Experience with ETL technologies including AWS Glue, Azure Data Factory, and Apache NiFi, plus data systems performance tuning.
- Strong communication, problem-solving, presentation, codebase review, and refactoring skills; a bachelor’s degree or equivalent experience.
Nice to have
- Consulting experience.
- Knowledge of big data on cloud platforms such as Azure Data Factory, Azure SQL, AWS, RDS Oracle, or Redshift.
- Python or PowerShell scripting experience.
Culture & Benefits
- Full-time employment with medical, dental, vision, disability, and other benefit options.
- Flexible Spending Accounts and a Health Savings Account paired with a high-deductible medical plan.
- Employer-paid life insurance and AD&D coverage.
- 401(k) Safe Harbor retirement plan with employer match and immediate vesting.
- Inclusive, respectful, and collaborative work environment with internal and external video meetings; onsite work at corporate or client offices may be required as necessary.
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