Reckitt

5 months ago

IT&D Data Engineering Senior Manager (Hyderabad, Telangana, IN, N/A)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 59 minutes agoStatus: Live

Job Summary

Senior Manager of Data Engineering leading reusable data ingestion frameworks, cross-domain data standards, and a central Data COE. Own cloud data foundations (lake, warehouse, pipelines), mentor a central team, and drive value-based delivery translating analytics into tangible business outcomes across Reckitt’s IT & Digital landscape.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own reusable data ingestion and processing; design and lead reusable ingestion frameworks, transformation libraries, and patterns for batch, streaming, and real-time workloads.
•Set cross-domain data standards; define enterprise standards for data modelling, schema evolution, quality, lineage, security, and metadata.
•Enable and unblock domain teams; provide templates, accelerators, POCs, and hands-on guidance to rapidly build and operate data products using shared tooling.
•Build and run cloud data foundations; architect and oversee cloud-based data environments (Data Lake, Data Warehouse, ingestion and processing pipelines) including migration from legacy systems.
•Lead team and engineering excellence; manage and mentor a central team of data engineers, drive code quality, reviews, automation, and a culture of continuous improvement and reuse

Pay and Benefits

Perks:Parental BenefitsLife Insurance

Key Requirements

•15+ years of hands-on experience in data engineering, with prior roles as Data/Application Architect or Engineering Lead
•Proven track record designing and delivering large-scale, cloud-native data solutions (SaaS/PaaS/API-based architectures)
•Deep expertise in ETL/ELT technologies, data warehousing, and big data processing (Spark, Hadoop, Databricks)
•Expert proficiency in Microsoft Azure, specifically Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
•Hands-on experience migrating legacy systems to modern cloud platforms

Experience:15+ yearsData engineeringCloudAnalytics

Skills:LeadershipCommunicationProblem-solvingStakeholder managementMentoring

Tech Stack:Azure Data FactoryAzure Data Lake StorageAzure DatabricksSparkHadoopDatabricksErwinPower DesignerETLELTData WarehouseData Lake

Company Brief

Reckitt

Global consumer goods company producing health, hygiene, and home products across well-known brands. Operates in multiple markets offering over-the-counter health, personal care, and household cleaning products to consumers worldwide.

Industry: FMCG

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Slough, United Kingdom

Founded: 1999

Website LinkedIn

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Reckitt

5 months ago

IT&D Data Engineering Senior Manager (Hyderabad, Telangana, IN, N/A)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 59 minutes agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own reusable data ingestion and processing; design and lead reusable ingestion frameworks, transformation libraries, and patterns for batch, streaming, and real-time workloads.
•Set cross-domain data standards; define enterprise standards for data modelling, schema evolution, quality, lineage, security, and metadata.
•Enable and unblock domain teams; provide templates, accelerators, POCs, and hands-on guidance to rapidly build and operate data products using shared tooling.
•Build and run cloud data foundations; architect and oversee cloud-based data environments (Data Lake, Data Warehouse, ingestion and processing pipelines) including migration from legacy systems.
•Lead team and engineering excellence; manage and mentor a central team of data engineers, drive code quality, reviews, automation, and a culture of continuous improvement and reuse

Pay and Benefits

Perks:Parental BenefitsLife Insurance

Key Requirements

•15+ years of hands-on experience in data engineering, with prior roles as Data/Application Architect or Engineering Lead
•Proven track record designing and delivering large-scale, cloud-native data solutions (SaaS/PaaS/API-based architectures)
•Deep expertise in ETL/ELT technologies, data warehousing, and big data processing (Spark, Hadoop, Databricks)
•Expert proficiency in Microsoft Azure, specifically Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
•Hands-on experience migrating legacy systems to modern cloud platforms

Experience:15+ yearsData engineeringCloudAnalytics

Skills:LeadershipCommunicationProblem-solvingStakeholder managementMentoring

Tech Stack:Azure Data FactoryAzure Data Lake StorageAzure DatabricksSparkHadoopDatabricksErwinPower DesignerETLELTData WarehouseData Lake

Company Brief

Reckitt

Industry: FMCG

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Slough, United Kingdom

Founded: 1999

Website LinkedIn