Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BlueMatrix

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

💸 Finance

☁️ SaaS

🤝 B2B

Finance • SaaS • B2B

BlueMatrix is a SaaS provider and the world’s largest publisher and distributor of investment research, offering tools to publish, brand, distribute and analyze financial research for banks, brokers, asset managers, wealth managers and corporate clients. Its platform includes configurable client portals, a Creator publishing tool, engagement and readership analytics, and secure, compliance-oriented workflows — positioned as AI-ready infrastructure for transforming research into actionable insights.

📋 Description

• Architect and evolve the data platform using Snowflake as the central data warehouse and dbt for transformation logic • Design and implement batch and streaming pipelines in AWS, ensuring scalability and cost-efficiency • Establish best practices for data modeling, warehouse schema design, and semantic layer standardization using dbt • Define and enforce data governance, security, and privacy policies aligned with compliance frameworks • Lead data migration from legacy sources to AWS and collaborate with DevOps to automate and secure deployments • Collaborate with engineering, product, and business stakeholders to understand data needs and align solutions with business goals • Mentor and guide data engineers; support code reviews, architectural reviews, and team upskilling

🎯 Requirements

• 8+ years in data architecture, with deep experience owning a modern data platform end to end: pipelines, storage, modelling, governance, monitoring • Expertise in data modeling (3NF, star/snowflake schemas), ELT/ETL design, and performance tuning • Solid understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.) • Strong programming in SQL and Python; experience with CI/CD and data testing in dbt • Knowledge of data governance, lineage, metadata management, and data quality frameworks • Experience working with streaming technologies (Kafka, Kinesis) and large-scale datasets • Has modernised platforms and run migrations while keeping live systems running • Brings documentation, data quality, observability and testing as a default while balancing scalability, performance, maintainability and cost • Designs architecture and makes the technology calls, not just implements them; sets common patterns and standards across application teams • Works comfortably across both engineering and business • Experience in platform modernization and cloud migration projects (preferred) • Familiarity with Airflow, Terraform, Great Expectations, or Monte Carlo (preferred)