1 день назад
Senior Data Architect (AWS, Azure, GCP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (AWS, Azure, GCP): Designing and delivering modern enterprise data architectures that improve data integration, quality, governance, and delivery with an accent on cloud services, real-time data distribution, NoSQL, and data warehouses. Focus on leading data engineering teams, balancing architectural trade-offs, advising executive stakeholders, and aligning technical solutions with client business goals.
Location: Columbus, Ohio, USA; employees must be available to work onsite at a client location or office as requested, with remote work available when compatible with client and company needs.
Company
is a consulting firm delivering technology solutions for Fortune 100 companies, mid-sized enterprises, and government agencies.
What you will do
- Assess data management technologies and define target-state practices and architectures.
- Develop strategic plans for data integration, quality, governance, and delivery.
- Evaluate solution options, articulate architectural trade-offs, and recommend optimal designs.
- Lead data engineers and technical teams through architecture, implementation, and best practices.
- Advise executive stakeholders and development teams on maximizing the value of enterprise data.
- Support business development by demonstrating technical capabilities, shaping proposed solutions, and estimating delivery plans.
Requirements
- 7+ years of experience implementing on-premises and cloud data management, integration, visualization, and analytics technologies.
- Advanced proficiency in modern data architecture across AWS, Azure, and GCP.
- Experience with real-time data distribution technologies such as Kafka, Kinesis, DataFlow, and Airflow.
- Experience with NoSQL databases, Snowflake, Databricks, SQL, and Python.
- Ability to design end-to-end data solutions covering ingestion, storage, and relational modeling.
- Must be authorized to work directly for any employer in the United States; visa sponsorship is not available.
Nice to have
- Previous consulting industry experience.
- Experience mentoring talent and contributing to Data & Analytics capability growth.
- Awareness of emerging data technologies and practices.
Culture & Benefits
- Flexible work environment supporting onsite and remote work based on client and company needs.
- Customizable career progression with certification, tuition support, mentorship, and digital learning programs.
- Health coverage, disability insurance, generous paid time off, and paid family leave.
- Mental health, fertility, family-forming, and personalized lifestyle benefit programs.
- Employee resource groups, philanthropic partnerships, and 401(k) matching with no vesting period.
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