Data Architect @ SiiRA
placeHybrid
attach_money $150,000
businessHybrid
scheduleContractor
Posted 7 hours ago
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Email Hiring Manager
***** @siira.com
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Job Details
About SiiRA
SiiRA is a global platform connecting top digital professionals with US-based companies in digital growth mode. We promote an agile, sustainable workspace with remote teams that capitalize on worldwide talent.
About the Data Architect Role
The Data Architect at SiiRA is the strategic brain behind our data infrastructure. This role involves designing, optimizing, and scaling data ecosystems to enable advanced targeting, real-time analytics, and audience intelligence for media and advertising.
Key Responsibilities
- Architect conceptual, logical, and physical data models for media workflows.
- Design and implement scalable, secure end-to-end data architecture strategies.
- Build and optimize high-performance data pipelines for advanced analytics.
- Test, tune, and integrate modern data technologies to maximize performance.
- Collaborate with engineering, data science, and product teams on predictive modeling and AI-driven personalization.
- Evaluate emerging data tools to maintain a best-in-class platform.
Qualifications
- 10+ years of experience in data architecture and modeling.
- 3+ years in large-scale big data environments (100TB+), ideally in media or ad tech.
- Expertise in designing real-time and batch processing systems.
- Proficiency in SQL, Python, and creating ERDs and scalable schemas.
- Strong experience with Google Cloud Platform tools: BigQuery, GCS, Cloud Functions, Cloud Composer.
- Experience with DBT for transformation, modeling, and lineage tracking.
- Understanding of data lake and data warehouse architectures.
- Familiarity with modern technologies such as Data Mesh, Lakehouse, Delta Lake, Apache Iceberg, and Databricks.
Key skills/competency
- Data Architecture
- Data Modeling
- ETL Pipelines
- Big Data
- GCP
- SQL
- Python
- DBT
- Ad Tech
- Analytics
How to Get Hired at SiiRA
🎯 Tips for Getting Hired
- Research SiiRA's culture: Review mission, values, and team insights online.
- Customize your resume: Highlight data architecture and big data skills.
- Prepare for technical interviews: Refresh GCP, SQL, Python, and DBT expertise.
- Showcase past projects: Demonstrate successful data ecosystem implementations.
📝 Interview Preparation Advice
Technical Preparation
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Review modern data pipeline architectures.
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Practice GCP services and SQL queries.
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Brush up on DBT and Python scripting.
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Study real-time vs batch processing differences.
Behavioral Questions
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Describe past teamwork experiences clearly.
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Explain problem-solving under tight deadlines.
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Share experiences managing cross-team communications.
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Discuss handling project challenges effectively.
Frequently Asked Questions
What experience level does SiiRA expect from the Data Architect?
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How important is GCP expertise for SiiRA's Data Architect role?
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What type of projects might a Data Architect at SiiRA lead?
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How does SiiRA support career growth for its Data Architects?
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