Director Data Dev Ops
About The Position
We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is no longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! The Data DevOps Lead is responsible for ensuring the reliability, scalability, and cost efficiency of Optimum’s data platform. This role drives automation, operational excellence, and standardized delivery across data pipelines, enabling a high-performing “data supply chain” that supports timely, trusted business decisions.
Requirements
- Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of study
- Strong experience in Data Engineering / DevOps / SRE within cloud environments (preferably GCP)
- Proven expertise in: Data pipeline orchestration (Airflow/Composer or equivalent), CI/CD tools and frameworks, Monitoring and observability tools
- Deep understanding of: Distributed data processing (Spark, BigQuery, etc.), Data platform architecture and ingestion frameworks
- Experience driving automation, cost optimization, and operational maturity
- Strong ownership mindset with focus on operational excellence and continuous improvement
- Ability to drive standardization across distributed teams
- Proactive in identifying risks, inefficiencies, and improvement opportunities
- Collaborative leadership across cross-functional data squads
Responsibilities
- Own end-to-end operational stability of data pipelines, ingestion frameworks, and platform components.
- Lead External Support team to ensure automated Monitoring of failed jobs, piplelines and ensure resolution of data incidents, failures, and SLA breaches proactively
- Drive automation of BAU processes, reducing manual intervention across ingestion, transformation, and delivery
- Simplify fragmented tools and workflows into standardized, scalable patterns
- Enable repeatable, low-touch operations across data engineering teams
- Monitor and optimize GCP infrastructure, compute, and storage costs
- Identify inefficiencies across data pipelines and workloads
- Implement cost control mechanisms, aligning platform usage with business value
- Design and implement CI/CD frameworks for: Data pipelines, Transformation layers (e.g., dbt models), ML/AI workflows where applicable
- Ensure version control, automated testing, and reliable deployments
- Enable faster, consistent delivery with reduced production risk
- Define and enforce data platform standards, frameworks, and reusable components
- Establish consistent practices for pipeline design, deployment, and monitoring
- Reduce variability across ingestion and processing patterns
- Partner with Data Engineering, Data Architecture, and Business/Data Operations teams
- Support delivery squads in achieving SLAs, reliability targets, and platform adoption goals
- Act as a central enabler for data platform scalability and operational excellence
Benefits
- Pay is competitive and based on a number of job-related factors, including skills and experience.
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What This Job Offers
Job Type
Full-time
Career Level
Director
