Solution Architect
About The Position
As a Senior Solution Architect within the Core Data Services (CDS) team, you will be an individual contributor responsible for designing, implementing, and optimizing end-to-end data warehouse and analytics solutions. You will work closely with data engineers, platform teams, and business stakeholders to translate requirements into robust technical designs that support real-time, high-volume, and low-latency use cases. This role sits at the intersection of architecture, engineering, and execution—you will define standards, build solutions, and guide teams on best practices in data platform design, ETL development, performance tuning, and cost optimization.
Requirements
- 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 (batch and streaming).
- Strong programming skills in Python, SQL, and familiarity with API development and orchestration tools.
- Experience working with cloud platforms (AWS preferred) and tools such as Snowflake, Redshift, or BigQuery.
- Strong analytical and problem-solving skills with a bias for action and ownership.
- Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
- Knowledge of data governance, lineage, and security best practices.
Nice To Haves
- Certifications in AWS, Databricks, or related technologies are a plus.
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—including Data Engineering, Platform Engineering, and Analytics—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.
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)
- Free concert tickets
- Generous paid time off including paid holidays, sick time, and personal days
- 401(k) program with company match
- Stock reimbursement program
- New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support
- Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment
- Volunteer time off
- Crowdfunding match
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What This Job Offers
Job Type
Full-time
Career Level
Senior
