Principal Data Engineer - DB Infrastructure

Take ownership of DB and data warehousing infra

Optimize query performance

Oversee database and data warehousing infrastructure

Optimize database and query performance

Contribute to cutting-edge ML/AI research applicable to Pinterest problems

Collect, analyze, and synthesize data findings to build data-driven models

Analyze complex product and user behavior data

Identify key metrics, trends, and customer pain points

Run monthly reporting and analysis

Partner with team leads for insights

Analyze complex product and user behavior data

Quantify the impact and ROI of opportunities

Evaluate subscriber lifecycle health and identify growth opportunities

Build forecasting models for subscriber and revenue growth

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product to define success metrics and solutions

Analyze complex product and user behavior data to identify key metrics, trends, and customer pain points.

Partner with Product to frame problems, define success metrics, and identify data-backed solutions.

Analyze complex product and user behavior data

Quantify the impact and ROI of opportunities

Analyze product and user behavior data

Quantify impact and ROI

Analyze product and user behavior data to identify key metrics and trends

Partner with Product to frame problems and define success metrics

Design, build, and maintain Salesforce automations

Develop scalable data models across pre- and post-sale GTM

Analyze complex product and user behavior data

Partner with Product to frame problems and define success metrics

Design and develop scalable data models for analytics.

Collaborate with data engineers on data pipelines.

Collaborate with Merchandising/Product for growth and savings

Build dashboards and LookML for BI insights

Analyze complex product and user behavior data

Quantify impact and ROI of opportunities

Build and maintain backend services and APIs

Design and implement care data models

Own design, development, and reliability of core identity/platform services.

Architect backend services for onboarding, org management, and multi-user access.

Own data pipelines and automate financial workflows

Develop Snowflake data models for key financial metrics

Analyze product and user behavior data

Partner with Product to define success metrics

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product team to frame problems and define success metrics

Configure and maintain reliable data feeds into the platform

Design data transformations using Spark-based tools

Model and document new datasets for business units

Automate business metrics alignment

Architect and build core monetization systems for ChatGPT Ads.

Define source of truth for ads monetization data.

Building and evolving core production infrastructure

Designing scalable and reliable systems

Model and document new datasets

Automate business metrics

Architect and implement data pipelines

Integrate and normalize data sources

Model and document new datasets

Automate business metrics

Define and drive strategy for the Operating Account platform

Own end-to-end vision for accounts, money movement, treasury, liquidity, AP workflows

Lead the architecture, delivery, and adoption of a knowledge platform

Design and scale semantic and operational layers on a Databricks lakehouse

Lead Cortex onboarding and implementation for UK clients

Act as the main technical point of contact during implementations

Translate complex requirements into scalable data models

Design and develop dimensional models for analytics

Own and manage Bronze data layer with API ingestion and transformation.

Collaborate with Product and Engineering on Silver-layer modeling and governance.

Own parts of Contacts stack end-to-end

Evolve architecture to scalable, multi-tenant system

Developing scalable internal software and integrations

Collaborating with cross-functional teams

Drive design and implementation of performance management strategies

Develop and execute learning and talent development initiatives

Analyze data for trends and insights

Design dashboards using Looker/LookML

Build and maintain core data models for Greenhouse Recruiting and emerging lines

Establish global modeling standards using dbt for a single source of truth

Lead and manage a portfolio of SI/consulting partners for successful delivery

Provide architectural guidance on data modeling, IC logic, and reporting

Define and evolve enterprise data architecture

Establish dimensional modeling standards

Design and implement revenue KPI measurement approaches

Develop revenue forecasting models

Elicit requirements through interviews, workshops, surveys

Produce various artifacts such as requirements documents, use cases, data models

Develop front-end and back-end solutions with automated tests

Collaborate with product managers and engineers on high-impact projects

Design and implement robust data models for analytics

Collaborate with stakeholders to deliver data products

Own and manage core marketplace systems.

Improve reliability, performance, and observability.

Leading cross-team data pipelines for regulatory insights

Standardizing compliance and risk metric definitions

Lead design and implementation of shared data models and dimensions.

Standardize data engineering practices across teams.

Analyze data for decision support

Communicate data findings effectively

Contribute design and engineering expertise in a cross-functional team

Develop automation for scalable, high-quality apps