About brighthush
brighthush is a forward‑thinking technology leader that empowers brands to create unforgettable customer experiences. With a mission to turn data into delight, we build cutting‑edge platforms that enable real‑time personalization, omnichannel engagement, and data‑driven decision making. Our culture is built on curiosity, collaboration, and a relentless focus on delivering 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. In this role, you’ll 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.
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.
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 (Google BigQuery, Snowflake) and processing engines (Databricks, Spark).
- 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 (Kafka, Kinesis) and event‑driven architectures.
- Knowledge of data science workflows and integration of ML models into production pipelines.
- Familiarity with cloud platforms (AWS, GCP, Azure) 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.
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.
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.
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.
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.
Join brighthush and Transform Customer Experiences
As a 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.
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