Director Data Platform & Engineering

• Leadership experience. 10+ years in data engineering, platform engineering, or related roles, including 4+ years leading engineering teams and senior technical talent; experience managing managers is preferred.
• Enterprise platform ownership. A record of defining and delivering cloud data-platform strategy, architecture, modernization roadmaps, and operating models across multiple functions or data domains.
• Technical credibility. Strong working knowledge of SQL, Python, data modeling, distributed data systems, cloud warehouses or lakehouses, transformation frameworks, ingestion and orchestration patterns, APIs, and software-engineering practices.
• Modern delivery discipline.

with Git-based development, automated testing, CI/CD, infrastructure as code, data observability, metadata and lineage, security, privacy, and production support.

• Transformation leadership. Demonstrated success migrating legacy data ecosystems while managing dependencies, change, service continuity, and stakeholder expectations.
• Business and executive partnership. Ability to translate enterprise priorities into a sequenced roadmap, make sound build-versus-buy decisions, and communicate architecture, risk, cost, and value in clear business terms.
• Financial and vendor management.

managing platform spend, capacity, vendors, contracts, and consulting partners with a focus on measurable value and sustainable total cost.

• People leadership. A record of attracting, developing, and retaining diverse talent and building a culture of accountability, collaboration, pragmatic engineering, and continuous improvement.

• Relevant platforms.

with Snowflake and/or BigQuery, dbt, modern ingestion tools, semantic layers, data catalogs, and BI or analytics platforms.

• AI-ready data.

enabling machine learning, generative AI or decision-support products using governed enterprise data.

• Industry context. Publishing, media, retail, consumer products, forecasting, or supply-chain experience; bachelor's degree in a technical or quantitative field, or equivalent practical experience.

• A clear enterprise roadmap. The target architecture, investment plan, ownership model, and delivery sequence are understood and supported across Data, Technology, and the business.
• A dependable, governed platform. Core data products meet defined expectations for quality, freshness, availability, lineage, security, and cost.
• Modernization with measurable value. Priority legacy workflows and manual processes are retired or improved without business disruption, with gains in speed, accuracy, control, or employee capacity.
• A strong engineering organization. The team, standards, and operating model can sustainably deliver enterprise priorities and support responsible AI at scale.

We welcome candidates with different paths and perspectives.

If you do not meet every preferred qualification, we still encourage you to apply.

Simon & Schuster India is an equal opportunity employer (EOE).

At Simon & Schuster India, the spirit of inclusion feeds into everything that we do.

From employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources, and rewards should be available to and for the benefit of all.

Simon & Schuster India is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

Candidates hired for this or any other posted Simon & Schuster India role will be employees of Simon & Schuster Publishers India Private Limited, subject to all policies, including the Workplace Privacy Notice , and eligible solely for the benefits plans thereof.