Senior Data Engineer

Salesforce
Hyderabad
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Problem-solving","Interpersonal skills","Written communication","Verbal communication","Quality orientation"]

Own the data warehouse model for the Marketing Operations team, partnering with business analytics and engineering to design and implement scalable data pipelines. Build trusted, well-understood data foundations that deliver high-quality insights to product and corporate systems partners and decision-makers. Lead data governance, security, privacy, quality, retention, and data lineage while supporting and maintaining the analytics ecosystem (data warehouse, ETL, BI tools).

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FursaFursa
Salesforce
Salesforce
13 hours ago

Senior Data Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Own the data warehouse model for the Marketing Operations team, partnering with business analytics and engineering to design and implement scalable data pipelines. Build trusted, well-understood data foundations that deliver high-quality insights to product and corporate systems partners and decision-makers. Lead data governance, security, privacy, quality, retention, and data lineage while supporting and maintaining the analytics ecosystem (data warehouse, ETL, BI tools).
Location: Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and build pipelines delivering data with measurable quality under SLA.
  • •Assemble complex, large data sets that meet functional requirements.
  • •Partner with data architects, domain experts, and data analysts to build trusted foundations aligned to business strategy.
  • •Champion data governance strategy covering security, privacy, quality, and retention aligned with business policies.
  • •Own and document data pipelines and data lineage; identify and promote best practices and support analytics ecosystem.
  • •Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools).

Key Requirements

  • •8+ years of experience in data management/data integration, modeling, optimization, data quality, or related data engineering areas.
  • •4+ years working cross-functionally with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives.
  • •Solid experience working with Sales, Finance, and product usage data.
  • •Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.
  • •Ability to work across pipeline ETL, data modeling/design, and complex SQL.
Experience:8+ yearsData engineering
Skills:Problem-solvingInterpersonal skillsWritten communicationVerbal communicationQuality orientation
Tech Stack:Data WarehouseETLBI toolsSQLDimensional modelingSnowflakeRedshiftAirflowHadoopHiveSparkPythonNoSQLMPP databases

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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