1 час назад
Architect (Data)
114 000 - 165 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (Cloud/Data Platforms): Designing and modernizing Empower’s cloud and data architecture with an accent on scalable, secure, and cost-optimized platforms. Focus on building data-intensive solutions, defining reusable architecture patterns, and applying streaming, integration, governance, and responsible GenAI practices.
Location: Remote - Nationwide, United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship, including CPT/OPT sponsorship, is not available.
Base salary: $114,000–$165,300 per year, with potential participation in a bonus program.
Company
is a financial services company focused on helping customers achieve financial freedom through technology and financial products.
What you will do
- Shape solution architectures aligned with the unified IT data strategy in partnership with enterprise architects, business stakeholders, and engineering teams.
- Document target-state and reference architectures, roadmaps, dependencies, reusable patterns, and architectural decisions.
- Design and support modernization and migration of complex systems to scalable, secure, and cost-optimized cloud architectures.
- Evaluate and prototype emerging technologies, including Generative AI and advanced analytics, and translate experimentation into delivery recommendations.
- Establish architectural standards, governance, security, resilience, scalability, and integration practices across data platforms.
- Guide full-stack and delivery teams through solution design and implementation to improve performance, reliability, and long-term cost outcomes.
Requirements
- Bachelor’s or master’s degree in computer science, information systems, mathematics, software engineering, or equivalent experience.
- At least 5 years of experience delivering data-intensive solutions in data engineering, analytics engineering, data platforms, BI, or related areas.
- At least 1 year of solution design ownership for moderately complex initiatives, including architectural trade-offs and implementation guidance.
- Experience across multiple data-focused roles, such as data engineering, ETL/ELT, data architecture, database administration, BI, analytics engineering, data science, or data governance.
- Expertise in data and cloud architecture, preferably AWS, with experience in platforms such as Snowflake or Redshift.
- Knowledge of architecture frameworks, performance optimization, availability, caching, monitoring, scalability, security, and communicating decisions across distributed teams.
Nice to have
- Experience with ETL/ELT pipelines, orchestration, data quality, batch and near-real-time workloads, Kafka or Kinesis, and event-driven architectures.
- API-first data access, integration governance, Spark-based platforms, data security and privacy, FinOps, CI/CD, infrastructure as code, Kubernetes or EKS.
- Applied AI and GenAI patterns for retrieval, evaluation, monitoring, and responsible adoption.
- Java, microservices, third-party API integrations, or AWS Certified Solutions Architect certification.
Culture & Benefits
- Flexible remote work environment with support for work-life balance, well-being, inclusion, and internal mobility.
- Medical, dental, vision, and life insurance.
- 401(k) retirement plan with company matching contributions of up to 6%.
- Tuition reimbursement of up to $5,250 per year.
- Paid time off, company and floating holidays, paid volunteer time, parental leave, disability benefits, and FMLA programs.
- Business Resource Groups supporting inclusion and collaboration.
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