We're looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defence technology.

Your responsibilities will include leading the design and roadmap for our data platform, partnering with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs, owning the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business, and managing a large user base and providing true data self-service at scale.

We use Palantir Foundry as our central hub for data-driven applications, visualizations and large-scale data analysis across the Anduril org. We also use SQLMesh for data transformations, Athena for querying data, Apache Iceberg as our table format, and Flyte for orchestration.

Required qualifications include 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment, good foundations in Python or another language, experience with Spark, PySpark, SQL and dbt, experience with Enterprise Data Systems like Palantir Foundry, and experience with or interest in learning how to develop data services and data products.

The salary range for this role is $166,000-$220,000 USD.

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Who we are

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

About the team

The Big Data Infrastructure organization is a globally distributed team of approximately 40 engineers spread across Dublin, Bangalore, Seattle, and San Francisco. This team is the backbone of the company’s data ecosystem, responsible for building, scaling, and maintaining the highly reliable platforms that power data storage, orchestration, and processing at scale.

As the Head of Big Data Infra, you will lead a global, ~40-person engineering organization responsible for the foundational data platforms that drive the business. Reporting directly to the Head of Compute, you will define the strategic vision and roadmap for the company's data lake, orchestration pipelines, and batch computing environments.

The team's technical portfolio spans four core domains:

• Datalake (Storage): Managing scalable cloud storage and metadata layers, leveraging Amazon S3, Apache Iceberg (metastore and integrations), SAL, and Hive Metastore (HMS).

• Data Orchestration: Ensuring robust pipeline execution and scheduling using Apache Airflow.

• Batch Compute Infra (Data Store): Maintaining foundational data infrastructure and legacy systems, including Hadoop.

• Batch Compute Experience (Data Processing): Optimizing and delivering powerful data processing environments utilizing Apache Spark and Apache Celeborn.

What you’ll do

You will move beyond day-to-day management to act as an industry leader, effectively advocating for your organization's mission and impact. You will be expected to see problems others don't and rally people to independently create solutions.

Responsibilities

• Set Strategic Vision: Define the scope, vision, and goals for your organization with little or no guidance. You will anticipate industry trends to influence Stripe's long-range plans and set direction on a multi-year timeframe.

• Lead at Scale: Manage the achievement of and accountability for broad swaths of programs. You will establish wide-ranging and scaled processes, anticipating and removing roadblocks across multiple teams.

• Drive Operational Excellence: Instill a culture of rigorous thinking and meticulous craftsmanship. You will ensure your organization drives constant improvement in team processes and maintains high standards of operational rigor.

• Indirect Influence: Use indirect influence to steer other teams toward making the right decisions for Stripe. You will effectively communicate your team's plan and how it links to Stripe's company vision to cross-functional stakeholders.

• Obsess Over Talent: Proactively invest in the development of the organization and its people at all levels. You will recruit world-class talent and coach your direct reports,who are themselves managers - to elevate the skills of the leadership team.

• Stewardship & Culture: Act as an ambassador and advocate for Stripe, modeling ownership for all other Stripes. You will actively work to increase Stripe's inclusivity and diversity and use our operating principles to guide decision-making.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Bachelor’s degree or equivalent practical experience with minimum 5 years of experience with software development.

• Minimum 5 years of experience in a technical leadership role; overseeing strategic projects.

• Minimum 3 years of Manager of Managers experience (managing other engineering managers).

• Experience building diverse teams to tackle challenging technical problems.

• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.

Preferred qualifications

• Strategic Ambiguity: Proven ability to translate chaos into clarity and navigate complex, high-impact work where you must define your own scope.

• Infrastructure at Scale: Successfully shipped and operated critical infrastructure with significant responsibility over funds or critical data.

• Cross-Functional Influence: A track record of getting other teams on board with your vision to support execution in a way that benefits the broader company.

• Curiosity: You enjoy learning and diving into the nuts-and-bolts of how things work (e.g., global money movement rails, currency conversion, or inter-company flows).

• Humility and Adaptability: You are humble and self-aware, with a history of adapting your management approach across different environments and seeking feedback to grow as a leader.

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Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time.

Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works.

About the Team

Consumers care first and foremost about having their time valued by brands. Brands need insights into their customer service operation to serve their consumers effectively. Such insights and analytics are delivered through various data products like in-app analytics dashboards and data-sharing integrations.

The data platform team is responsible for designing, building, and maintaining the data infrastructure that enables such data and analytics products at scale. We build and manage data pipelines, databases, and other data structures to ensure that the data is reliable, accurate, and easily accessible.

We also enable internal stakeholders with business intelligence and machine learning teams with data ops. This team manages the platform that handles 2 Million events per minute and processes 1+ terabytes of data daily.

About the Role

• Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 900M Monthly active users
• Building customer-facing analytics products that deliver actionable insights and data, easily detect anomalies
• Collaborating with data stakeholders to see what their data needs are and being a part of the analysis process
• Write design specifications, test, deployment, and scaling plans for the data pipelines
• Mentor people in the team & organization

Requirements

• 3+ years of experience in building and running data pipelines that scale for TBs of data
• Proficiency in high-level object-oriented programming language (Python or Java) is must
• Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must
• Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc
• Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must
• Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc
• Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus
• Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)
• Excellent verbal and written communication skills
• Bachelor’s Degree in Computer Science (or equivalent)

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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