About the Role

We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.

This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems

You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.

Roles & Responsibilities

• Own and manage business-critical data across Revenue, Operations, and GTM functions
• Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
• Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
• Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
• Translate business problems into structured data analysis and scalable reporting solutions
• Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
• Develop and maintain data models and ensure consistency across reporting systems
• Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
• Support planning and forecasting through data analysis and performance tracking
• Ensure data accuracy, hygiene, and governance across systems and dashboards
• Contribute to building scalable data infrastructure and improving accessibility of insights across teams
• Present insights and recommendations clearly to stakeholders, including leadership
• Lead and manage a team of data analysts, market research, and sales ops ICs

What We’re Looking For

Experience

• 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
• Prior experience working with Sales / GTM / Revenue teams is preferred
• Experience is leading a team of analysts is preferred

Technical Skills

• Strong proficiency in SQL
• Hands-on experience with Power BI (or similar BI tools) – Advanced level
• Strong working knowledge of Excel / Google Sheets
• Experience with Python for automation and data processing (preferred)
• Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)

Business & Analytical Skills

• Strong understanding of business metrics across pipeline, revenue, and operations
• Ability to convert ambiguous business problems into structured analysis
• Strong problem-solving and analytical thinking

Soft Skills & Mindset

• High ownership and accountability
• Ability to work in a fast-paced, cross-functional environment
• Strong communication skills, with the ability to work with senior stakeholders

Good to Have

• Experience in B2B SaaS or high-growth startup environments
• Exposure to CRM tools (e.g., HubSpot, Salesforce)
• Experience working on performance tracking, forecasting, or incentive reporting

#LI-PB1

Location:  Gurgaon, India

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking a highly skilled and motivated Senior Data Engineer to join our global team. As a Senior Data Engineer, you will design, build, and maintain the systems and infrastructure that enable efficient data collection, processing, and analysis. Your work will empower the organization to make data-driven decisions and support advanced analytics and machine learning initiatives.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines to extract, transform, and load (ETL/ELT) data from various sources.
• Integrate data from a variety of formats and sources, including APIs, cloud platforms, and on-premise databases.
• Optimize data workflows and processing for performance and reliability.
• Work closely with the AI  & data analytics teams to understand data requirements and deliver tailored solutions.
• Collaborate with other engineering teams to design and optimize data architectures, ensuring data availability and consistency across the organization.
• Ensure data quality, integrity, and compliance with organizational and regulatory standards.
• Develop and enforce data governance policies and procedures.
• Monitor and optimize the performance of data infrastructure and pipelines.
• Document data engineering processes, workflows, and infrastructure for transparency and maintainability.

Required Skills:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
• 5+ years of experience working as a data engineer or a similar role.
• Strong knowledge of data modeling and schema design.
• Proficient in SQL and some programming languages such as Python.
• Strong working knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery).
• Hands-on experience with ETL/ELT tools and workflows.
• Familiarity with cloud platforms (Google Cloud, AWS, Azure) and their data-related services.
• Knowledge of orchestration / data processing tools (Airflow, dbt).
• Ability to troubleshoot data-related issues and identify root causes.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
• Experience with big data tools and platforms (e.g.  Kafka, Spark) is a plus
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment with multiple stakeholders.

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

ABOUT VAYNERX

VaynerX (https://vaynerx.com) is the most contemporary family of companies, working together to build and grow brands. Subsidiaries include VaynerMedia, Eva Nosidam Productions, The Sasha Group, Gallery Media Group, Tingley Lane Trading, VaynerSpeakers, and VaynerCommerce.

The PITCH

We are seeking a passionate and driven Data Engineer to help build a next-generation data and measurement platform that powers advanced data solutions for our Fortune 500 clients and internal teams.

As a member of the Data Infrastructure and Visualization team within our Analytics discipline, you will be a key contributor in designing, building, and scaling the reporting and analytics infrastructure that is the backbone for all VaynerMedia clients. In this role, you’ll collaborate closely with internal stakeholders, analysts, and data scientists, while partnering with fellow data engineers to architect and implement robust cloud-based data solutions.

We’re looking for a technically proficient Data Engineer with a strong background in cloud infrastructure and a keen interest in delivering scalable, high-performance data systems that enable actionable insights and strategic decision-making.

Here’s where you come in.

• Develop & implement ETL/ELT solutions leveraging cloud based architecture. Design the ingestion layer and data transformation and normalization to optimize querying performance and reporting outputs
• Debug production issues across our organizations cloud infrastructure
• Highly experienced with SQL scripting language to maintain and troubleshoot queries and processes within cloud based data warehouse
• Expertise in python to help develop and maintain workflows that enhance data automation, data hygiene, and enable efficient connections to 3rd party platforms for data retrieval and storage on cloud based platforms (aws, snowflake)
• Lead data integration projects with 3rd party solutions, with a focus on increasing process efficiencies in a cost-effective manner
• Partner with the Analytics stakeholders to automate and scale processes that improve data utilization and reporting deliverables
• Understanding & Documenting business requirements & technical specifications related to new data integrations. Design and execute unit testing to help mitigate data discrepancies in support of client reporting

Your Experience

• 3 to 5 years of data engineering experience, particularly in support of cloud based data warehouse
• Strong knowledge of working in Snowflake and AWS (Redshift, Athena, Lambda)
• Expert in hands on Python development
• Expertise in building ETL/ELT pipelines in an cloud based data warehouse
• Experience with 3rd party data ingestions and normalization via APIs, peer-to-peer networks, SFTP, etc
• Well versed with leading requirement gathering sessions across verticals (analytics, media, or finance teams)
• Adapt communication style to relevant audiences (from technical teams to non-technical stakeholders)
• Communicates effectively via emails and in presentations
• Present complex ideas in practical terms to non technical stakeholders

What you should know about VaynerMedia

Think “lab” and not “agency”. We get excited about solving business problems, not creating advertising for the sake of making advertising. Our entrepreneurship DNA runs deep. We’re willing to break rules, try new things, and test hypotheses if it means better understanding our craft. It’s fun!

Our environment (and pace) feels much more like a start-up than most agencies you might be used to. Hopefully that, and the opportunity to collaborate with the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.