Solution Architect

Ladders; United States; Teletrabalho; USD 144 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Flexible remote work

401(k) with company match

Professional development

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Data warehousing

Distributed data systems

Python

SQL

API development

Orchestration tools

Data governance

Formação académica

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

Ferramentas

Databricks

Spark

Delta Lake

S3

Snowflake

Redshift

BigQuery

AWS

Airflow

Descrição da oferta de emprego

For our client, we are seeking a Solution Architect to join the team of a leader in the Media space.
This role will shape modern data architecture and integration capabilities that support large-scale, high-frequency data workloads across the organization. You will partner with cross-functional teams to translate business needs into scalable technical solutions and improve how data is delivered, governed, and consumed. The position combines hands-on architecture design with a strong focus on performance, cost efficiency, data quality, and reuse.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $144,000 – $180,000 annually

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.

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.

Benefits

• Medical, vision, dental, and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA).
• Paid time off including paid holidays, sick time, and personal days.
• 401(k) program with company match and a stock reimbursement program.
• New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support.
• Career and skill development programs, tuition reimbursement, and student loan repayment.
• Volunteer time off and crowdfunding match.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.