Engineering Manager, Data Movement & Transformation Job at Airbnb

GTM Salesforce Data Quality & Enrichment Lead

As the GTM Salesforce Data Quality & Enrichment Lead at Vanta, you will own the ...

Location

United States

Salary:

127000.00 - 149000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

4+ years of experience in data operations, CRM data management, or GTM systems with deep focus on data quality and enrichment
Strong technical proficiency with Salesforce data architecture including objects, fields, relationships, and data flows
Hands-on experience managing data enrichment platforms (ZoomInfo, Clearbit, Apollo, etc.) and vendor relationships
Proficiency with SQL/SOQL for data analysis, validation, and troubleshooting
Proven experience supporting end users (sales, marketing teams) with data-related questions and issues
Deep understanding of data quality frameworks including deduplication strategies, validation rules, and data governance
Experience managing data movement between Salesforce and external systems including data warehouses (Snowflake, etc.)
Strong analytical skills to monitor data health, identify quality issues, and implement observability frameworks
Experience with data acquisition strategy including budget management and vendor selection
Excellent cross-functional collaboration skills to work with Data Engineering, Operations, and GTM teams

Job Responsibility

Own the strategy and operations for all GTM data in Salesforce, including contacts, accounts, opportunities, and product data
Develop and execute the enrichment strategy, determining what data to enrich, when, and through which vendors
Manage relationships with data enrichment and acquisition vendors (ZoomInfo, Clearbit, etc.), including contract negotiations, optimization, and budget management
Provide front-line data support to end users (SDRs, AEs, CSMs), troubleshooting data issues and ensuring teams understand how to effectively use data
Establish and maintain data quality standards including integrity checks, accuracy validation, and deduplication strategy
Own data movement architecture—managing how data flows into Salesforce, out to other GTM systems, and into the data warehouse
Implement observability and monitoring frameworks to track data health, quality metrics, and system performance
Define and execute net new data acquisition strategy, including sourcing decisions, timing, budget allocation, and vendor selection
Understand data usage patterns across teams, establish purging policies, and monitor signals that indicate data lifecycle needs
Use SQL/SOQL to analyze data quality issues, validate transformations, and coordinate cross-functionally with Data Engineering and GTM Systems teams

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

Data Modeler

Join us as a Data Modeler at Barclays where you will spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Design and implementation of high-quality data models that optimize data access, storage, and analysis
Experience in ER Studio
Creation of comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Partnering with business stakeholders to understand their data needs and translate these requirements into clear data modelling specifications
Collaboration with data engineers to translate into physical data models and throughout the development lifecycle
Continuously monitor and optimize the performance of the models to ensure efficient data retrieval and processing
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems

Job Responsibility

Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence
Harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions
Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products
Work with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications
Test the data models with data engineers and continuously monitoring and optimizing the performance of these data models
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources

What we offer

Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to providing a supportive and inclusive culture
Opportunity to explore flexible working arrangements
Chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business
Encouragement to embrace mobility, exploring every part of our operations as you build your career

Fulltime

Director Product Manager (Data Orchestration and Insights)

As Director Product Manager, you will define and execute the strategy to establi...

Location

United States , Palo Alto

Salary:

240000.00 - 325000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

12+ years of product management experience in SaaS or B2B environments, specializing in data management, data orchestration, or infrastructure products
Proven success in shipping and scaling complex data products with measurable business impact
Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments
Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines
Strong understanding of modern data architecture, including data lakes, data warehouses, structured and semi-structured data processing
Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines
Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery)
Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies
Hands-on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self-service data exploration and analytics
Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems

Job Responsibility

Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources
Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently
Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats
Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls
Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies
Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments
Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead
Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights
Work with AI research teams to infuse machine learning into Workato’s data services, driving continuous optimization and smarter decision-making
Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time

What we offer

vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives
perks
equity

Senior Data Integration Engineer

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’r...

Location

United States , Sunnyvale; San Francisco

Salary:

147000.00 - 178000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, Information Technology, or equivalent experience of 5+ years of working experience as a Data Integration Engineer or similar role (e.g., Data Engineer, ETL Developer)
Has 3+ years of experience designing and implementing highly reliable, high-volume ETL/ELT pipelines
Expertise in cloud-based data warehousing and data lake solutions, specifically using Google Cloud Storage (GCS) and Google Cloud Platform (GCP) services
Strong proficiency with data integration/ETL platforms like Fivetran and Workato. Ideally has achieved the Workato Integration Developer Certificate
Proven experience with DBT (Data Build Tool) for data transformation and modeling in a cloud data warehouse environment
Experience with BI tools, preferably Sigma, for data visualization and reporting
Strong knowledge of SQL, data modeling (Kimball, Inmon), schema design, and database management
Demonstrates strong knowledge of EAI/SOA best practices, solution designs, and methodology & standards related to data movement
Can demonstrate prior experience with Role Based Access Controls, Data Management, Environmental Controls, and audit logs
Good written, oral, and interpersonal communication skills

Job Responsibility

Data Pipeline Development: Design, implement, and maintain scalable data pipelines (ETL/ELT) using primary tools like Fivetran, Workato, and DBT to move data between critical business systems, including PMIS, ERP, HCM, and cloud environments like GCS/GCP
Initial Project Focus: Lead the development of data integrations for our datacenter construction business, linking systems such as DCIS, PMIS, BIM, ERP, Cost Management, and Procurement
Data Lake Management: Build and manage data ingestion processes (ETL) to consolidate structured and unstructured data into a centralized Datalake built on GCS
Analytics Enablement: Ensure data quality and availability to support both business analytics & reporting, as well as complex forecasting and modeling initiatives
Reporting Tool Integration: Build the necessary data integrations to allow visualization and reporting using tools like Sigma and DBT
Continually meet with various business units to collect data requirements and propose and implement data pipeline enhancements and modernization
Prepare functional specifications (business requirements) and test data as needed for new integrations
Work with the Operations Team to create and maintain a roadmap of data integration projects
Maintain accurate documentation of code, designs, and integrations
including project tickets, knowledge bases, configuration documents, and as-built diagrams

What we offer

Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement

Fulltime

Data Modeller

Join us as a Data Modeller at Barclays, where you'll spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Collaborates with data engineers to test and validate the data models
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing
Collaborates with data engineers to translate into physical data models and throughout the development lifecycle
Manages the business as usual ‘BAU’ data model and solution covering enhancements and changes
Helps DSA in defining the legacy estate migration and decommissioning roadmap for the assigned BUK data domain
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills

Job Responsibility

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Consult on complex issues

What we offer

Hybrid working
We’re committed to providing a supportive and inclusive culture and environment for you to work in
We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success

Fulltime

New

Amazon S3 Engineer

Role: Amazon S3 Engineer. FTE only.

Location

United States , Charlotte, NC / Plano, TX

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Amazon Data Engineer
AWS Data Engineer
Amazon S3
Shell Scripting
Autosys
Minimum 10 years experience
PySpark
SQL
Oracle
Banking knowledge

Job Responsibility

Design, develop, and execute Data Pipelines and test cases to ensure data integrity and quality
Develop, implement, and optimize data pipelines that integrate Amazon S3 for scalable data storage, retrieval, and processing within ETL workflows
Leverage Amazon S3 for data storage, retrieval, and management within ETL workflows, including the ability to write scripts for data transfer between S3 and other systems
Utilize Amazon S3's advanced features such as versioning, lifecycle policies, access controls, and server-side encryption to ensure secure and efficient data management
Write, maintain, and troubleshoot scripts or code (using PySpark, Shell, or similar languages) to automate data movement between Amazon S3 and other platforms, ensuring high performance and reliability
Collaborate with cross-functional teams to troubleshoot and resolve data-related issues, utilizing Amazon S3 features such as versioning, lifecycle policies, and access management
Document ETL processes, maintain technical documentation, and ensure best practices are followed for data stored in Amazon S3 environments
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster
Knowledge in Metadata dependent ETL process and batch/job framework

Fulltime

New

Amazon S3 Engineer

Role: Amazon S3 Engineer. Location: Charlotte, NC / Plano, TX. FTE only.

Location

United States , Charlotte, NC / Plano, TX

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Amazon Data Engineer
AWS Data Engineer
Amazon S3
Shell Scripting
Autosys
Minimum 10 years experience
PySpark
SQL
Oracle
Banking knowledge

Job Responsibility

Design, develop, and execute Data Pipelines and test cases to ensure data integrity and quality
Develop, implement, and optimize data pipelines that integrate Amazon S3 for scalable data storage, retrieval, and processing within ETL workflows
Leverage Amazon S3 for data storage, retrieval, and management within ETL workflows, including the ability to write scripts for data transfer between S3 and other systems
Utilize Amazon S3's advanced features such as versioning, lifecycle policies, access controls, and server-side encryption to ensure secure and efficient data management
Write, maintain, and troubleshoot scripts or code (using PySpark, Shell, or similar languages) to automate data movement between Amazon S3 and other platforms, ensuring high performance and reliability
Collaborate with cross-functional teams to troubleshoot and resolve data-related issues, utilizing Amazon S3 features such as versioning, lifecycle policies, and access management
Document ETL processes, maintain technical documentation, and ensure best practices are followed for data stored in Amazon S3 environments
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster
Knowledge in Metadata dependent ETL process and batch/job framework

Fulltime

New

Azure Data Engineer

Location

Canada , Toronto

Salary:

140000.00 CAD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong understanding of data warehousing, data lakes, and best practices for data quality, security, and performance
Design, develop, deploy, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory (ADF), Azure Databricks, and other Azure data services (e.g., Azure Data Lake Storage, Azure Synapse Analytics)
Implement efficient, reusable, and testable code for data transformation, cleansing, and analysis using Python and PySpark within Databricks notebooks and jobs
Use ADF pipelines to orchestrate data movement and trigger Databricks notebooks or jobs, ensuring seamless integration between various data sources and destinations
Manage data storage, ensure data integrity, optimize data processing, and troubleshoot performance issues related to Databricks and ADF solutions
Collaborate closely with data scientists, data analysts, and business stakeholders to gather requirements and translate business needs into technical specifications and data solutions
Implement monitoring, error handling, and security best practices across all data workflows and ensure compliance with data governance standards
Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes
Proven experience in data engineering, data warehousing, or similar

Fulltime

Engineering Manager, Data Movement & Transformation

Airbnb

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 25, 2026

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