Senior Data Engineering Manager – Customer Data & Personalization Strategy Lead – Architecting Scalable Real‑Time Omnichannel Customer Experience Platforms at brighthush

About brighthush

In the fast‑moving world of digital commerce, data is the new currency. At brighthush, we believe that every click, swipe, and in‑store interaction should feel personal, timely, and delightful. Our mission is simple yet ambitious: turn data into delight. By harnessing the power of advanced analytics, machine learning, and real‑time data pipelines, we empower brands worldwide to deliver hyper‑personalized experiences across web, mobile, email, and physical touchpoints. Our culture is built on curiosity, collaboration, and a relentless focus on measurable business impact. As we expand our data engineering capabilities, we’re looking for a visionary leader to guide our Customer Data team and shape the future of digital experiences.

Why This Role Matters

Customer data is the heartbeat of modern commerce. The insights you unlock drive product innovation, targeted marketing, and seamless omnichannel journeys. As Senior Data Engineering Manager, you will translate complex data into actionable strategies that elevate personalization, boost retention, and accelerate growth. You’ll partner with product, technology, and business stakeholders to create a unified data foundation that powers the next generation of customer experiences.

What You’ll Do

Imagine a world where every customer interaction—whether on web, mobile, email, or in‑store—is informed by the most accurate, up‑to‑date data. Your leadership will make that world a reality. By architecting end‑to‑end data pipelines, you’ll enable real‑time personalization at scale, empower data scientists with clean, enriched datasets, and give marketers the tools to deliver hyper‑targeted campaigns. The ripple effect will be felt across the organization: higher conversion rates, increased customer lifetime value, and a brand that customers love to engage with.

Key Responsibilities

• Strategic Leadership: Define the vision and roadmap for customer data engineering, ensuring alignment with brighthush’s digital and business objectives.
• Team Management: Lead, mentor, and grow a high‑performing data engineering team. Set clear goals, provide continuous feedback, and foster a culture of ownership and innovation.
• Technical Direction: Architect scalable data pipelines, data lakes, and analytics solutions that support personalization, identity resolution, and activation across all channels.
• Project & Portfolio Oversight: Manage end‑to‑end delivery of data initiatives using agile methodologies. Prioritize work, allocate resources, and ensure timely, high‑quality releases.
• Stakeholder Collaboration: Partner with product managers, data scientists, and business leaders to translate requirements into robust data solutions.
• Governance & Security: Champion data quality, governance, and security practices. Ensure compliance with industry standards and internal policies.
• Innovation & Continuous Improvement: Evaluate emerging technologies (e.g., serverless, real‑time streaming, AI‑driven data modeling) and drive adoption to enhance performance and scalability.
• Talent Development: Identify skill gaps, design learning pathways, and create a mentorship culture that nurtures career growth.
• Budget & Resource Planning: Collaborate with finance to forecast budgets, manage vendor relationships, and optimize resource utilization.
• Performance Measurement: Define KPIs, monitor team health, and implement improvement plans to sustain high performance.
• Cross‑Functional Enablement: Serve as the bridge between engineering, data science, and product teams, ensuring data solutions meet business needs and are delivered on time.
• Data Strategy Advocacy: Champion the value of data‑driven decision making across the organization, presenting insights and recommendations to executive leadership.

Essential Qualifications

• Minimum 6 years of professional experience in data engineering, analytics, or a related field.
• Proven track record of leading and scaling data engineering teams, including hiring, coaching, and performance management.
• Deep expertise in customer data platforms, identity resolution, and personalization pipelines.
• Hands‑on experience with modern data warehouses and processing engines.
• Strong data modeling skills and ability to design scalable, maintainable solutions.
• Experience managing cross‑functional projects, including onshore/offshore teams and external vendors.
• Solid understanding of data governance, quality, security, and compliance frameworks.
• Excellent communication skills, capable of translating technical concepts to non‑technical stakeholders.
• Strategic mindset with the ability to translate emerging trends into actionable initiatives.
• High integrity, accountability, and a passion for customer‑centric outcomes.

Preferred Qualifications

• Master’s degree in Computer Science, Data Engineering, or a related discipline.
• Experience with real‑time streaming platforms and event‑driven architectures.
• Knowledge of data science workflows and integration of ML models into production pipelines.
• Familiarity with cloud platforms and infrastructure‑as‑code tools.
• Prior experience in a high‑growth, consumer‑facing technology company.
• Certifications in data engineering or cloud technologies.

Core Skills & Competencies

• Technical Leadership: Ability to set architectural standards and drive technical excellence.
• People Management: Talent acquisition, coaching, and fostering a collaborative team culture.
• Project Management: Agile planning, risk mitigation, and stakeholder communication.
• Analytical Thinking: Data‑driven decision making and problem solving.
• Customer Focus: Translating data insights into tangible customer benefits.
• Innovation: Evaluating and adopting new tools and methodologies.
• Communication: Clear, concise, and persuasive across all levels.

Technology Stack

At brighthush, we leverage a modern, cloud‑native stack that includes:

• Data Lake: Snowflake
• Data Warehouse: BigQuery
• Streaming: Kafka
• Processing: Apache Spark
• Orchestration: Airflow
• Infrastructure: Terraform
• Observability: Datadog

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as our technology stack. You’ll have the chance to:

• Lead cross‑functional initiatives that shape the company’s digital strategy.
• Mentor junior engineers and data scientists, building a legacy of talent.
• Participate in executive‑level discussions and influence product direction.
• Attend industry conferences, workshops, and hackathons to stay at the forefront of data engineering.
• Access internal learning platforms, certifications, and continuous education programs.
• Take on new challenges such as expanding into new markets or scaling to support global customers.
• Explore leadership tracks that could lead to Director or VP roles within the data organization.

Work Environment & Culture

brighthush champions a flexible, inclusive, and collaborative culture. Key highlights include:

• Fully remote work across the United States, with flexible hours to support work‑life balance.
• A diverse and inclusive workforce that values different perspectives.
• Regular hackathons, knowledge‑sharing sessions, and cross‑team collaboration.
• Transparent communication channels and an open‑door policy for ideas and feedback.
• Commitment to employee well‑being through wellness programs, mental health resources, and generous paid time off.
• Community outreach initiatives that encourage giving back and social impact.

Compensation & Benefits

We offer a competitive total rewards package that reflects your experience, expertise, and the impact you’ll bring to brighthush:

• Base Salary: $95,200 – $158,800 annually, commensurate with experience and market benchmarks.
• Performance Incentives: Annual bonus potential tied to individual and company performance.
• Equity: Opportunity to participate in brighthush’s equity program.
• Health & Wellness: Comprehensive medical, dental, and vision plans, including telehealth services.
• Retirement: 401(k) plan with company match.
• Paid Time Off: Generous vacation, sick leave, and personal days, plus paid holidays.
• Professional Development: Budget for conferences, courses, and certifications.
• Remote Work Stipend: Monthly allowance to support home office setup.
• Wellness Perks: Gym membership discounts, mindfulness app subscriptions, and wellness challenges.

How to Apply

Ready to lead the next wave of customer data innovation? Submit your application through our secure portal. We’ll review your profile, and if you’re a match, a member of the brighthush hiring team will reach out to schedule a conversation. Please include a brief cover letter highlighting your experience with real‑time data pipelines and your vision for customer personalization at scale.

Join brighthush and Transform Customer Experiences

As Senior Data Engineering Manager, you’ll be at the forefront of building data solutions that power personalized, omnichannel experiences for millions of customers. Your leadership will shape the data architecture that drives growth, fuels innovation, and sets new industry standards. If you’re passionate about data, people, and impact, we want to hear from you.

Apply today and help us turn data into delight at brighthush.