Senior Data Analytics Platform Engineer

Addepar; New York (NY); On-site; USD 158,000 - 197,000; Full time

Job summary

Addepar in New York City is seeking a Senior Software Engineer to build a Data Analytics Platform that empowers teams to make data-driven decisions every day.

You will collaborate with product managers and engineers to architect solutions for complex data and workflow challenges, using the Data Lakehouse to guide Ops and Data Governance. The role emphasizes scalable data architectures and automation of pipelines.

Qualifications

• 5+ years of experience in platform development enabling data engineering outcomes.
• Strong experience with Java or Python.
• Proficient with cloud platforms (AWS, GCP, Azure).
• CI/CD experience for data pipelines and lifecycle automation.
• Familiar with observability tools and monitoring (Datadog, Grafana).
• Experience with IaC tools: Terraform, Ansible, CloudFormation.
• Familiarity with PySpark/Databricks is a plus.

Responsibilities

• Build and scale a comprehensive platform, formalizing and optimizing data analytics across teams.
• Collaborate with product managers and engineers to understand requirements, and architect solutions for data and workflow challenges.
• Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure.
• Simplify processes by promoting strategic data architecture and optimized workflows.

Skills

5+ years experience

Java or Python

Cloud platforms (AWS/GCP/Azure)

CI/CD for data pipelines

Observability tools (Datadog, Grafana)

FiddlerAI

PySpark/Databricks

Stream data handling

Financial domain familiarity

Tools

Terraform

Ansible

CloudFormation

Databricks

Job description

Addepar in New York City is seeking a Senior Software Engineer to build a Data Analytics Platform that empowers teams to make data-driven decisions every day.

You will collaborate with product managers and engineers to architect solutions for complex data and workflow challenges, using the Data Lakehouse to guide Ops and Data Governance. The role emphasizes scalable data architectures and automation of pipelines.