4 дня назад
Senior Data Architect (AWS, Azure, GCP)
120 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (AWS, Azure, GCP): Designing and implementing modern enterprise data architectures that improve data integration, quality, governance, and delivery with an accent on cloud platforms, real-time data distribution, NoSQL, and modern data warehouses. Focus on leading data engineering teams, evaluating architectural trade-offs, aligning technical solutions with business goals, and communicating recommendations to executive stakeholders.
Location: Chicago, IL, USA; employees must be available to work onsite at a client location or office as requested, with remote work available when compatible with business and client needs.
Salary: $120,000–$200,000 base pay per year.
Company
is a technology consulting firm delivering data, analytics, and technology solutions for Fortune 100 companies, enterprises, and government agencies.
What you will do
- Assess and advocate for data management technologies and practices, identifying gaps between current and target states.
- Design strategic plans that improve data integration, quality, governance, and delivery.
- Evaluate solution options and communicate architectural trade-offs before recommending optimal designs.
- Lead data engineers and technical teams through architecture, implementation, and best practices.
- Advise executive stakeholders and development teams on maximizing the business value of enterprise data.
- Contribute to data and analytics practice leadership, talent development, innovation, and business development proposals.
Requirements
- 7+ years of experience implementing on-premises and cloud data management, integration, visualization, and analytics technologies.
- Advanced proficiency with modern data architectures and cloud services including AWS, Azure, and GCP.
- Experience with real-time data distribution tools such as Kafka, Kinesis, DataFlow, and Airflow; NoSQL platforms including MongoDB, DynamoDB, HBase, and CosmosDB; and data warehouses such as Snowflake and Databricks.
- Advanced end-to-end data architecture experience covering ingestion, storage, relational modeling, SQL, and Python.
- Experience recommending data governance practices covering MDM, security, privacy, and policies, as well as leading enterprise engineering implementations.
- Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Nice to have
- Previous consulting industry experience.
- Experience providing thought leadership, mentoring, and talent development within a data and analytics practice.
- Awareness of emerging technologies and trends in the data landscape.
Culture & Benefits
- Flexible work environment with remote work considered when compatible with client and business needs.
- Comprehensive benefits including PTO, health coverage, disability insurance, paid family leave, and 401(k) matching with no vesting period.
- Certification and tuition support, digital learning courses, mentorship, and structured skill development paths.
- Mental health, fertility, family-forming, and personalized lifestyle benefits.
- Employee resource groups and opportunities for philanthropic and pro-bono projects.
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