4 часа назад
Data Solutions Architect (Snowflake)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Solutions Architect (Snowflake): Lead the architecture and delivery of enterprise-scale data platforms and analytics solutions for client organizations with an accent on Snowflake, modern data architectures, data governance, and scalable integration. Focus on defining target-state architectures, establishing DataOps and analytics engineering standards, guiding technical workstreams, and advising executive stakeholders through complex cloud data transformations.
Location: London. Travel may be required for client engagements, workshops, stakeholder meetings, and internal team events.
Company
is an advisory and IT implementation firm helping global organizations improve financial clarity, operational performance, and financial management through business transformation.
What you will do
- Lead the strategy, architecture, governance, and delivery of enterprise-scale data platforms and analytics solutions.
- Design modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies, and analytics ecosystems.
- Architect Snowflake-based cloud data platforms, including security, performance, workload management, cost governance, replication, data sharing, and disaster recovery.
- Define scalable batch, real-time, event-driven, API, orchestration, and ELT/ETL integration patterns.
- Establish standards for dbt, DataOps, testing, documentation, CI/CD, Infrastructure as Code, observability, and automated deployment.
- Lead technical workstreams, mentor engineers, prepare estimates and proposals, and conduct client presentations, executive briefings, architecture reviews, and workshops.
Requirements
- 6+ years of experience designing and delivering enterprise-scale data platforms and analytics solutions.
- Leadership experience across multiple projects and teams, including mentoring engineers and driving architectural decisions.
- Advanced experience with Snowflake and cloud data platforms, plus strong knowledge of Azure and/or Google Cloud Platform.
- Expertise in data architecture, dimensional modelling, semantic layers, master data, governance, ELT/ETL, real-time processing, APIs, and orchestration.
- Advanced experience with dbt and modern data stack architectures, including DataOps, testing, governance, documentation, and deployment standards.
- Strong software engineering skills with Python and SQL, plus experience with CI/CD, automated deployment, and Infrastructure as Code, preferably Terraform.
Nice to have
- Experience with BigQuery, Databricks, Synapse, Redshift, Fivetran, Workato, Boomi, Airbyte, or similar platforms.
- Experience in pre-sales, solution estimation, technical proposal development, and client-facing consulting.
Culture & Benefits
- Inclusive workplace focused on trust, belonging, respect, and equal opportunity.
- Employee Resource Groups include CRE, Women Elevate, PROUD, and Mental Wellness Alliance.
- Reasonable accommodation is available for applicants with disabilities.
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