About Us
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer
•Competitive salary and bonus opportunity
•Comprehensive benefits package
•Paid vacation, holidays, and sick time
•Extensive product and on-the-job training
•Encouraging and collaborative team environment
•Dedication to safety through our Zero Harm policy
•Opportunities to lead an enterprise data capability with broad organizational impact
What you will do
The Data Ingestion Leader is accountable for the strategy, architecture, engineering, delivery, and operational reliability of enterprise data ingestion capabilities. This role owns the enterprise-wide ingestion layer, providing a standardized, scalable, secure, and reusable capability for acquiring structured, semi-structured, and unstructured data from enterprise source systems into the enterprise data platform.
You will establish reusable ingestion patterns that make onboarding a new data source primarily a configuration-driven activity rather than a custom engineering project. You will ensure that data arrives reliably and securely while meeting agreed freshness and availability service-level agreements.
How you will do it
Enterprise Data Ingestion Strategy
•Own the enterprise roadmap and strategy for data ingestion.
•Establish common ingestion patterns for batch, streaming, API, file, database, software-as-a-service, and event-based sources.
•Drive standardization and reuse across business domains and source-system technologies.
•Eliminate unnecessary point-to-point integrations and duplicate ingestion solutions.
•Partner with Enterprise Architecture and platform leadership to align ingestion patterns with enterprise data architecture principles.
Ingestion Framework and Engineering
•Build and operate a reusable, metadata- and configuration-driven ingestion framework that accelerates source onboarding and minimizes custom development.
•Establish engineering standards for schema detection and evolution, incremental and change data capture processing, restart and recovery, idempotency, data validation, reconciliation, observability, logging, error handling, metadata capture, security, and encryption.
•Develop reusable connectors and templates for strategic enterprise source platforms.
•Apply consistent engineering practices to improve scalability, maintainability, security, and operational support.
Source Onboarding and Intake
•Establish a documented intake and prioritization process for new ingestion requests.
•Partner with source-system owners to understand availability, interfaces, refresh requirements, data volumes, dependencies, and business criticality.
•Define onboarding standards and acceptance criteria that must be met before production deployment.
•Maintain an enterprise source inventory that identifies the owner, refresh cadence, criticality, and sensitivity classification of each feed.
Reliability, Service Levels, and Observability
•Define and publish data freshness and availability service-level agreements for downstream teams.
•Implement proactive ingestion monitoring and alerting so failures are identified before they affect downstream consumers.
•Own pipeline reliability, incident response, root-cause analysis, and corrective-action delivery.
•Establish dashboards covering pipeline health, freshness, latency, throughput, failures, and service-level attainment.
•Apply DataOps and site reliability engineering practices to continuously improve ingestion reliability.
Data Quality and Governance at Ingestion
•Implement automated data validation as information enters the platform.
•Ensure source-to-Bronze reconciliation and ingestion completeness.
•Automate the capture of technical metadata and lineage wherever possible.
•Ensure ingestion pipelines follow applicable security, privacy, retention, and data governance standards.
•Partner with Data Governance and Data Stewards on classification, ownership, sensitivity, and lifecycle requirements.
•Ensure Bronze-layer data complies with applicable enterprise controls.
Lifecycle and Technical Debt Management
•Own the execution of ingestion-related retention and lifecycle requirements.
•Monitor unused datasets and manage their archival or removal according to defined policies.
•Identify and retire legacy, manual, and unsupported ingestion mechanisms.
•Maintain a modernization roadmap for high-risk or unsupported ingestion interfaces.
Team Leadership
•Lead and develop a high-performing team of ingestion engineers and technical leads.
•Establish clear engineering standards, code-review practices, and technical ownership.
•Build team capabilities across cloud data engineering, APIs, streaming, change data capture, DevOps, DataOps, and automation.
•Establish engineering capacity planning and delivery accountability.
•Foster a culture of automation, reuse, engineering excellence, continuous improvement, and operational ownership.
Stakeholder and Delivery Management
•Partner closely with source-system owners, Enterprise Architecture, Data Platform Strategy and Standards, Data Governance, Data Operations, and domain data delivery leaders.
•Collaborate with Cybersecurity, Privacy, Infrastructure, Cloud, business, and analytics teams to deliver secure and reliable ingestion capabilities.
•Manage stakeholder expectations, dependencies, risks, priorities, and delivery commitments across enterprise initiatives.
•Support vendor management and technology decisions related to enterprise ingestion capabilities.
What we look for
Required
•Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline, or equivalent professional experience.
•At least 10 years of experience in data engineering, data integration, data platforms, or adjacent disciplines.
•At least five years of experience leading technical teams, major platforms, programs, or engineering capabilities.
•Demonstrated experience designing and operating enterprise-scale data ingestion architectures.
•Strong understanding of ETL and ELT, APIs, change data capture, event and streaming architectures, data lakes and lakehouses, data warehousing, metadata, lineage, data quality, observability, and cloud data platforms.
•Experience applying CI/CD, DevOps, and DataOps practices to production data pipelines.
•Demonstrated enterprise architecture thinking, strategic planning, engineering excellence, and operational ownership.
•Strong people leadership, stakeholder management, problem-solving, change leadership, risk management, and continuous-improvement capabilities.
Preferred
•Experience with Snowflake and Microsoft Azure.
•Experience with Azure Data Factory or Fabric Data Factory.
•Experience with Databricks.
•Experience with Kafka or other event-streaming platforms.
•Experience with APIs and API management platforms.
•Experience with change data capture technologies.
•Experience integrating data from SAP, Oracle, and Salesforce.
•Proficiency with SQL and Python.
•Experience with Git-based CI/CD practices.
•Experience with enterprise data observability and monitoring platforms.
•Experience managing technology vendors and strategic delivery partners.
SALARY RANGE : $145,000 - $200,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law . If you are an individual with a disability and you require an accommodation during the application process, please visit here .