Remote Data Solutions Architect | Scalable Pipelines & APIs

Ladders; United States; Remote; USD 144,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Flexible remote work

401(k) with company match

Professional development

Job summary

Ladders is seeking a senior Solution Architect to shape modern data architecture and integration across the organization. You will drive scalable data pipelines, API layers, and governance practices while collaborating with cross-functional teams to align technical solutions with business goals.

The role emphasizes hands-on architecture design, performance optimization, and cost efficiency in a remote US-based setting. Strong experience with Databricks, AWS, Spark, and data modeling is required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data engineering or architecture roles, with strong expertise in data warehousing and distributed data systems.
• Proven experience building large-scale, high-throughput data pipelines using Databricks, Spark, Delta Lake, S3, and related technologies.
• Deep understanding of ETL/ELT design, data modeling, and data integration patterns, including batch and streaming.
• Strong programming skills in Python, SQL, and familiarity with API development and orchestration tools.
• Experience working with cloud platforms, with AWS preferred, and tools such as Snowflake, Redshift, or BigQuery.
• Knowledge of data governance, lineage, and security best practices.

Responsibilities

• Define and implement modern data warehouse architecture and frameworks, covering data modeling, ETL pipelines, orchestration, storage, and access patterns.
• Develop scalable data solutions leveraging Databricks, AWS, and other modern tools to handle large-scale, high-frequency data workloads.
• Design and build APIs and data integration layers to enable interoperability across systems and real-time data access.
• Continuously improve performance, scalability, and cost efficiency across ETL processes, compute environments, and data delivery systems.
• Work with cross-functional teams to align technical solutions with business outcomes.
• Champion best practices for data quality, lineage, metadata management, and compliance.
• Create architecture diagrams, technical documentation, and design templates to support reuse and consistency across the organization.

Skills

Data warehousing

Distributed data systems

Python

SQL

API development

Orchestration tools

Data governance

Education

Bachelor's or Master's in CS/IS or related field

Tools

Databricks

Spark

Delta Lake

S3

Snowflake

Redshift

BigQuery

AWS

Airflow

Job description

Ladders is seeking a senior Solution Architect to shape modern data architecture and integration across the organization. You will drive scalable data pipelines, API layers, and governance practices while collaborating with cross-functional teams to align technical solutions with business goals.

The role emphasizes hands-on architecture design, performance optimization, and cost efficiency in a remote US-based setting. Strong experience with Databricks, AWS, Spark, and data modeling is required.