5 часов назад
Senior Data Architect (Snowflake/dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (Snowflake/dbt): Designing and optimizing large-scale data platforms that transform raw S3 files and event data into reliable core tables and dimensional marts with an accent on data modeling, ingestion, correctness, security, and cost efficiency. Focus on engineering billion-row incremental models, resolving complex identity and late-arriving data problems, administering Snowflake, and establishing production data standards.
Location: Remote from Panama
Compensation: Highly competitive pay in USD; exact amount not specified.
Company
provides nearshore staff augmentation and technology services for U.S. companies, with a distributed network of technology professionals across Latin America.
What you will do
- Design scalable core tables that transform raw event data into reliable datasets for analytics and data science.
- Build incremental dbt models for billion-row tables using merge strategies, clustering, deduplication, microbatch processing, and idempotent reprocessing.
- Design identity-resolution solutions, fact and dimension marts, approved analytical datasets, and event-driven data integrations.
- Build reliable Amazon S3 to Snowflake ingestion using Snowpipe, stages, storage integrations, COPY INTO, and schema evolution.
- Administer Snowflake environments and optimize performance, stability, security, governance, and cost across production systems.
- Establish modeling and dbt standards, review SQL and Python code, document architectural decisions, and coach engineers and analysts.
Requirements
- 6+ years of experience in data engineering, data architecture, or analytics engineering.
- 3+ years of hands-on production experience with Snowflake and expert-level SQL skills.
- Advanced experience with dimensional modeling, fact and dimension marts, slowly changing dimensions, conformed dimensions, and semi-structured data.
- Advanced dbt experience with incremental strategies, snapshots, macros, testing, and billion-row datasets.
- Experience with behavioral or event data, identity resolution, sessionization, late-arriving events, duplicates, and event-driven integrations.
- Strong written and verbal English communication skills, with the ability to explain technical trade-offs to engineers and business leaders.
Nice to have
- Working knowledge of AWS services including S3, IAM, SNS, and SQS.
- Experience with Parquet and other columnar data formats.
- Ability to read and review Python code.
Culture & Benefits
- 100% remote work from Panama with a laptop and reliable internet connection.
- Competitive compensation paid in USD.
- Paid time off and an emphasis on well-being and work-life balance.
- Autonomy to manage working time with a results-focused approach.
- Access to projects with leading U.S. companies and collaboration with a diverse network of more than 600 professionals across 25+ countries.
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