Director, Enterprise Data Platform & Engineering

Medallia, Inc.; McLean (VA); Hybrid; USD 156,000 - 270,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Disability insurance

Life & AD&D insurance

Parental leave

Paid holidays

Job summary

Medallia, Inc. in Tysons, VA, seeks a senior Head of Data Platform & Engineering to own the enterprise data strategy and platform, turning raw data into governed data products for ELT, FP&A, and GTM analytics.

You will lead a small team of engineers and analysts, guiding architecture, governance, and AI enablement. The role requires 10+ years in data engineering with 5+ years leading teams, strong SQL/dbt skills, and experience with Snowflake, Airflow, and BI tools.

Qualifications

• 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team.
• Hands-on experience with SQL and dbt to transform raw data into analysis-ready tables and views.
• Experience architecting and operating cloud data platforms at enterprise scale (e.g., Snowflake) with orchestration tools (e.g., Airflow, Dagster).
• Experience delivering data platform strategy end-to-end from architecture to governance and adoption.
• Proven ability to translate ambiguous business requirements into clear data models, metrics, and reporting.

Responsibilities

• Own and evolve the enterprise data strategy and architecture for the data platform.
• Build knowledge of GTM, product telemetry, and financial reporting needs; translate priorities into data products and a roadmap.
• Partner with analytics teams to gather requirements and run an agile delivery model.
• Provide hands-on leadership and coaching to a small team of data engineers and analysts.
• Define and maintain data governance standards with data owners across the business.
• Lead evaluation and rollout of self-service analytics and AI enablement tools.
• Collaborate cross-functionally on data initiatives that support revenue growth.
• Oversee core data platform tech stack and analytics/visualization tools.
• Identify opportunities to apply AI to data workflows and reporting.

Skills

SQL

dbt

Cloud data platforms

Snowflake

Airflow

Fivetran

Dagster

Data governance

Stakeholder management

Leadership

Tools

Tableau

Sigma

Omni

Snowflake Cortex

Job description

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

The Head of Data Platform & Engineering owns our internal enterprise data strategy and platform, turning raw operational data into governed, trusted data products that power decision-making for our executive leadership team (ELT), FP&A, GTM Analytics and other business functions within Medallia. This is a hands‑on leadership role for someone with demonstrated experience in defining a data strategy, executing on the platform architecture and data modeling, and building and coaching a small team of data engineers and analysts. This role will also lead the effort to extend self‑service analytics beyond a small group of expert Tableau users to a broader, distributed set of business analysts by leveraging the newer breed of analytics solutions and AI.

This role sits at the center of how we operate as one integrated, high-performing company: the data platform is the connective tissue that gives leadership a single source of truth on the health of the business, and gives go‑to‑market teams (Marketing, Sales, Service, and Support) the insight they need to protect and grow our customer base.

Responsibilities

• Own and evolve the enterprise data strategy and technical architecture for the enterprise data platform, continuing our shift to a Medallion (bronze/silver/gold) architecture.
• Build a deep working knowledge of the company's GTM strategy, product telemetry, and financial reporting needs; act as a trusted advisor to business functions, translating their priorities into well‑governed data products and a prioritized roadmap.
• Partner with business function leaders and their distributed analytics teams to gather requirements, prioritize the backlog, and run an agile delivery model with a clear bias to action.
• Provide hands‑on leadership and coaching to a small team of data engineers and analysts, reviewing data models and pipelines and unblocking technical decisions.
• Define and maintain data governance standards - quality, access, lineage, and shared definitions - in partnership with data owners across the business.
• Lead the evaluation and rollout of tools that extend self‑service analytics and AI enablement to non‑technical business users, reducing reliance on multiple Excel workbooks and avoiding the learning curve of more complex BI solutions.
• Partner cross‑functionally on data initiatives that support revenue growth: pipeline generation, prospecting, expansion and renewal (ATR) opportunities, rep productivity, and product telemetry - bringing greater predictability and insight to the business.
• Lead the selection, implementation, and management of the core data platform technology stack; partner with business functions on selection and management of the analytics and visualization tools that leverage the data platform.
• Identify opportunities to apply AI to the data platform itself and to internal reporting and analytics workflows, in line with the company's broader AI‑enablement priorities.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

Qualifications

Minimum Qualifications

• 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team.
• Hands‑on experience and proficiency in SQL and dbt (or a comparable transformation and orchestration solution) to transform raw source data into analysis‑ready, governed tables and views.
• Demonstrated experience architecting and operating cloud data platforms (e.g., Snowflake or a comparable cloud data warehouse) at enterprise scale, leveraging pipeline orchestration (e.g., Dagster, Airflow, or similar) and EL / ETL tooling (e.g., Fivetran or similar).
• Experience designing and executing a data platform strategy end to end - from technical architecture, through data governance, to business adoption.
• Track record of translating ambiguous business requirements into clear data models, metrics, and reporting.
• Experience running an agile delivery model with a bias to action and a track record of shipping incremental business value.
• Strong communication, prioritization, and stakeholder management skills; comfortable operating as a trusted advisor to executive and business‑function leaders, not just a service provider, in a dynamic environment.
• Proven people leadership: hiring, coaching, and developing a small, senior technical team.

Preferred Qualifications

• Direct experience with a Medallion (bronze/silver/gold) or similar layered data architecture.
• Experience with Tableau and with newer spreadsheet‑native, self‑service BI tools (e.g., Sigma, Omni) - particularly in extending BI to non‑technical business analysts.
• Familiarity with native AI/ML capabilities within a cloud data platform (e.g., Snowflake Cortex) and a passion for leveraging AI to accelerate data engineering and analytics work.
• Experience in a B2B software/SaaS company, ideally supporting FP&A, GTM (marketing, sales, service/support), and executive data and reporting use cases.
• Ability to distill signal from noise in large, messy data sets and crisply communicate the "so what" to non‑technical executive audiences.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $155,500 - $270,000. This position is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short‑term and long‑term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at [e-mail]. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.