Service Owner – Customer Telemetry

Three Across; Bengaluru; Vor Ort; INR 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

Three Across seeks an experienced engineering leader to drive the design and operation of enterprise telemetry and real-time data integration solutions. You will own end-to-end streaming architectures, including Confluent Platform, data contracts, and security.

The role requires strong skills in Kafka ecosystems, data governance, and cross-functional collaboration with customers and delivery teams across on-premises, cloud, or hybrid environments.

Qualifikationen

• Proven experience leading design and operation of enterprise event streaming and real-time data integration solutions.
• Hands-on knowledge of Apache Kafka and Confluent technologies including brokers, topics, partitions and security.
• Define and assure non-functional requirements: availability, latency, throughput, security, recoverability and observability.

Aufgaben

• Support the customer telemetry solution roadmap with stakeholders and Practice Lead.
• Design end-to-end secure, scalable telemetry solutions across ingestion, streaming, transformation and storage.
• Translate customer telemetry requirements into clear data contracts and acceptance criteria.
• Own the technical design and evolution of the Confluent Platform and related streaming services.
• Define and assure reliable data flows from source systems to destinations through streaming/integration services.
• Implement end-to-end monitoring, alerting, logging, tracing and dashboards for platform health and SLA compliance.
• Lead governance across design, build, test and deployment with security and data governance standards.
• Coordinate delivery, transition, and production lifecycle management across partners and vendors.

Kenntnisse

Kafka & Confluent

Streaming pipelines

Stakeholder engagement

Ausbildung

Bachelor's degree in IT/CS or related

Tools

Kafka Connect

Schema Registry

Confluent Platform

Jobbeschreibung

What you'll do

Strategy and roadmap: Support the customer telemetry solution roadmap with the Practice Lead and stakeholders, aligning platform capacity, lifecycle plans and investment priorities to customer commitments and enterprise technology strategy.

Solution design and architecture: Support the end-to-end design of secure, resilient and scalable telemetry solutions spanning event ingestion, streaming, transformation, distribution, integrations, storage where required, observability and supporting infrastructure or cloud services.

Customer requirements: Translate customer telemetry requirements and service commitments into clear data contracts, interface specifications, non-functional requirements, acceptance criteria and sustainable support arrangements.

Event-streaming platform: Own the technical design and evolution of Confluent Platform and related streaming services, including clusters, brokers, topics, partitions, replication, connectors, schema services, security and administration tooling.

Data pipelines and integration: Define and assure reliable data flows from operational source systems such as DCIM, BMS, EPMS and metering platforms through streaming and integration services to authorised customer and enterprise destinations.

Data contracts and quality: Support establishment of standards for schemas, metadata, naming, compatibility, validation, lineage, retention and ownership. Implement controls to detect missing, late, duplicated, malformed or unexpected telemetry.

Security and access: Design authentication, authorisation, encryption, certificate and secret management, network segmentation, audit logging and customer isolation controls in partnership with Information Security and infrastructure teams.

Reliability and resilience: Define availability, latency, throughput, capacity, recoverability and continuity requirements. Lead capacity planning, performance testing, backup, recovery and disaster-recovery arrangements for telemetry services.

Observability and service performance: Implement end-to-end monitoring, alerting, logging, tracing and service dashboards that show platform health, pipeline performance, delivery status and compliance with SLAs or service-level objectives.

Technical leadership: Direct delivery partners, platform engineers, data and integration specialists, software suppliers and managed service providers; act as the primary technical point of contact for customer telemetry solutions.

Governance and assurance: Own technical assurance across design, build, test and deployment, ensuring compliance with architecture, cybersecurity, privacy, data governance, operational resilience and change-management standards.

Delivery and transition: Support estimation, planning, environment preparation, configuration, integration, migration, testing, cutover, release and transition to support. Identify risks, dependencies and decisions early and drive them to resolution.

Operational excellence: Oversee platform and pipeline health in live mission-critical environments. Support incident, problem, change and release management, lead technical investigation and drive permanent fixes for recurring issues.

Platform lifecycle: Guide versions, patches, upgrades, configuration, licences, certificates, environments, technical documentation and decommissioning, ensuring controlled change and sustainable support arrangements. Vendor and stakeholder leadership: Build trusted relationships across Data Centre Operations, Technology, Data and customer-facing teams, and hold vendors and service partners accountable for SLAs, KPIs, quality, knowledge transfer and improvement.

What you'll bring

Essential Proven experience leading the design, implementation and operation of enterprise event streaming, messaging, telemetry or real-time data integration solutions in a large, complex or multi-site organisation.

Strong hands-on knowledge of Apache Kafka and Confluent technologies, including brokers, topics, partitions, replication, Kafka Connect, Schema Registry, security and platform administration. Experience designing reliable real-time data pipelines, connectors and integrations using APIs, middleware, messaging or stream-processing patterns.

Strong understanding of schemas, data contracts, compatibility, data quality, lineage, retention and governance for operational or customer-facing data. Demonstrated ability to define and assure non-functional requirements including availability, latency, throughput, scalability, security, recoverability, observability and supportability.

Experience with platform monitoring, capacity planning, performance testing, incident investigation, disaster recovery, upgra

des and production lifecycle management.

Experience delivering technology change through design, build, test, deployment and transition to support across on-premises, cloud or hybrid environments.

Experience leading software vendors, platform partners, systems integrators and managed service providers and holding them accountable for technical and service outcomes.

Strong stakeholder engagement and communication skills, with the ability to translate customer and operational requirements into clear technical decisions.

Bachelor's degree in Information Technology, Engineering, Computer Science, Data Engineering or a related discipline, or equivalent relevant experience; typically 8+ years in integration, data platforms, enterprise applications or operational technology.

Desirable Experience in hyperscale data centres, colocation, utilities, telecommunications, energy, infrastructure or another telemetry-intensive, mission-critical environment. Experience operating Confluent Platform on premises and exposure to Confluent Cloud, hybrid integration or platform migration. Knowledge of DCIM, BMS, EPMS, metering, SCADA, IoT or other operational telemetry sources and common industrial or building protocols. Experience with stream processing, event-driven architecture, infrastructure as code, container platforms, Linux, cloud services and enterprise observability tooling. Relevant certifications in Confluent or Kafka technologies, cloud, ITIL, TOGAF, architecture or data engineering; APJ or global experience is highly regarded.