Addepar

1 day ago

Sr. Software Engineer - Analytics Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale a data analytics platform that formalizes and optimizes analytics across teams. Partner with product managers and engineers to understand requirements and architect solutions for complex data and workflow challenges. Help leverage core systems like the Data Lakehouse to advise and strategize data governance and operations infrastructure, while simplifying processes through thoughtful data architecture and optimized workflows.

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and scale a comprehensive analytics 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.
•Advise and strategize Ops and Data Governance infrastructure using core platform systems like the Data Lakehouse.
•Simplify processes by promoting strategic data architecture and optimized workflows.

Pay and Benefits

Salary: USD 158,000 - 197,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of relevant experience showing proficiency in platform development for data engineering outcomes.
•Strong experience with Java or Python.
•Experience with one or more cloud platforms (AWS, GCP, Azure) including hands-on cloud infrastructure and data analytics workloads.
•Expertise in CI/CD for data engineering pipelines, including building, automating, and optimizing the pipeline lifecycle.
•Experience with monitoring/observability and infrastructure-as-code tools (e.g., Datadog, Grafana, Terraform, Ansible, CloudFormation).

Experience:5+ yearsData engineeringCloudData analyticsFinancial services

Skills:CollaborationOwnershipProblem-solvingLow-ego mindset

Languages:English

Tech Stack:JavaPythonAWSGCPAzureCI/CDData LakehouseFiddlerAIDatadogGrafanaTerraformAnsibleCloudFormationPySparkDatabricksInfrastructure as CodeCI/CD pipelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Addepar

Provides a wealth management platform that aggregates, analyzes, and reports on complex financial data for advisors, family offices, and institutions to enable better investment decision-making and portfolio reporting.

Industry: Wealth Management

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Mountain View, United States

Founded: 2009

Website LinkedIn

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Addepar

1 day ago

Sr. Software Engineer - Analytics Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and scale a comprehensive analytics 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.
•Advise and strategize Ops and Data Governance infrastructure using core platform systems like the Data Lakehouse.
•Simplify processes by promoting strategic data architecture and optimized workflows.

Pay and Benefits

Salary: USD 158,000 - 197,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of relevant experience showing proficiency in platform development for data engineering outcomes.
•Strong experience with Java or Python.
•Experience with one or more cloud platforms (AWS, GCP, Azure) including hands-on cloud infrastructure and data analytics workloads.
•Expertise in CI/CD for data engineering pipelines, including building, automating, and optimizing the pipeline lifecycle.
•Experience with monitoring/observability and infrastructure-as-code tools (e.g., Datadog, Grafana, Terraform, Ansible, CloudFormation).

Experience:5+ yearsData engineeringCloudData analyticsFinancial services

Skills:CollaborationOwnershipProblem-solvingLow-ego mindset

Languages:English

Tech Stack:JavaPythonAWSGCPAzureCI/CDData LakehouseFiddlerAIDatadogGrafanaTerraformAnsibleCloudFormationPySparkDatabricksInfrastructure as CodeCI/CD pipelines

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Addepar

Industry: Wealth Management

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Mountain View, United States

Founded: 2009

Website LinkedIn