Chief Data Solutions Engineer

Job Description:

• As a technical leader and key communicator, you will play a pivotal role in designing and developing enterprise-grade data systems. You will work closely with engineering teams and business partners to bridge the gap between technology and business objectives.

Key Responsibilities:

1. Drive development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
2. Own project deliverables, timelines, and risks, ensuring alignment with stakeholders at every step.
3. Understand customer needs and translate them into technical solutions, partnering with product, analytics, and engineering teams to deliver end-to-end value.
4. Design and deliver robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
5. Lead technical execution of key projects, clearly communicating progress and proactively addressing roadblocks.
6. Partner cross-functionally to co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements.
7. Participate in stakeholder reviews and provide clear, actionable updates on technical progress, dependencies, and constraints.
8. Guide platform-level optimization, focusing on cost efficiency, performance, reliability, and maintainability.
9. Establish best practices for data governance, lineage, quality, and security in a distributed data environment.
10. Mentor engineers, fostering a strong technical culture and continuous learning environment.

Requirements:

• Effective communication skills to articulate technical ideas and project updates to internal teams and external partners.
• Ability to distill complex data and architecture challenges into simple, actionable plans that align with stakeholder goals.
• Experience working 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.
• 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.

About Us:

Key Skills & Qualifications:

• 10-20 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).
• 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, data integration and orchestration, messaging, analytics & BI, AI/ML, and cloud storage integration.
• 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.