About Us:At Quickplay, we believe in transparency, fairness, and collaboration while we passionately work on some of the toughest use cases in OTT video, focused on massive scale and resilience. If you aspire to be part of a high-performing, learning-oriented, and caring culture--you have landed on the right company. Our team is looking for an energetic, results-driven B2B marketing professional with a unique blend of product marketing, channel marketing, marketing communications and analytical acumen to develop and implement marketing initiatives in the video platform industry.
About The Role--
As a Principal Software Engineer - Data, you will play a role as a hands-on technical leader and a key communicator with stakeholders as part of the Data Products team. You will contribute directly to the design and development of enterprise-grade data systems while also acting as a bridge between engineering teams and business partners.Primarily Focused on:
- Driving development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
- Owning the communication of project deliverables, timelines, and risks to internal and external stakeholders, ensuring alignment at every step.
- Understanding customer needs and translating them into technical solutions, partnering closely with product, analytics, and engineering teams to deliver end-to-end value.
- Designing and delivering robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
- Leading the technical execution of key projects, ensuring progress is clearly communicated and roadblocks are proactively addressed.
- Partnering cross-functionally to co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements.
- Participating in stakeholder reviews and providing clear, actionable updates on technical progress, dependencies, and constraints.
- Guide platform-level optimization, including cost efficiency, performance, reliability, and maintainability.
- Set best practices for data governance, lineage, quality, and security in a distributed data environment.
- Mentor engineers, fostering a strong technical culture and continuous learning environment.
Success in this role requires:
- Proven ability to communicate effectively with both technical and non-technical audiences, including customers, executives, and cross-functional teams.
- Experience tracking and clearly reporting project progress, milestones, and blockers to internal stakeholders and external partners.
- Technical depth to personally contribute to codebases and architecture discussions, while helping set standards across teams.
- A proactive and collaborative mindset focused on transparency, stakeholder engagement, and shared ownership of outcomes.
- Commitment to quality, scalability, and maintainability of systems through thoughtful design and testing.
About You--
Experience & Technical Requirements:
- 8-12 years of development experience in data engineering, including direct contribution to 24x7 production systems.
- Advanced skills in Python and/or Golang, SQL, and current cloud data platforms (e.g., Databricks, BigQuery, Snowflake, or other).
- Strong experience in communicating complex project plans and deliverables to both technical and business audiences.
- Track record of developing and operating scalable data pipelines, APIs, and data platform components in real-world environments.
- Experience working directly with external stakeholders or customers, either in consulting, enterprise data delivery, or technical leadership roles.
- Deep understanding of batch and real-time data architectures, data modeling, and data warehousing.
- Hands-on experience with cloud-native ecosystems (GCP, AWS, or Azure), CI/CD pipelines, and infrastructure as code.
- Experience with a broad range of cloud technologies, including:
- Containerization & deployment: Docker, Kubernetes, Cloud Run, Cloud Functions, GKE, ECS
- Data integration and orchestration: n8n, Cloud Scheduler, Airflow, Cloud Composer, Step Functions, dbt, Dataform
- Messaging: Kafka, Pub/Sub
- Analytics & BI: Looker, Tableau
- AI/ML: Vertex AI, SageMaker, MLflow
- Cloud storage integration: S3, GCS
- Proficiency in setting up data observability, quality frameworks, and governance controls in distributed systems.
- Strong ability to translate ambiguous business needs into scoped, deliverable projects.
- Demonstrated success in stakeholder engagement, influencing outcomes, and building long-term trust.
- Technical leadership in prior roles with clear individual contributions to architecture, development, and delivery.
- Mentoring experience and a passion for helping others grow technically and professionally.
Highly Favorable Skills:
- Exceptional communication skills with the ability to articulate technical ideas and project updates clearly to both internal teams and customer stakeholders.
- Ability to distill complex data and architecture challenges into simple, actionable plans that align with stakeholder goals.
- Experience in client-facing roles, technical consulting, or enterprise delivery where direct communication with business or product partners was essential.
- A strong personal track record of hands-on coding and technical design, including ownership of critical systems and services.
- Demonstrated ability to build trust and alignment across teams, especially in fast-moving, high-stakes environments.
- Familiarity with cross-functional planning, scoping, and milestone delivery in agile or hybrid development environments.
- A commitment to mentoring and knowledge sharing, helping level up peers while continuing to grow as an individual contributor.
