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Accellor

Senior Data Architect

Accellor

. Architect and build end-to-end data platforms for large enterprise customers, including ingestion, lakehouse/warehouse modeling, transformation pipelines, orchestration, and serving layers for BI and AI/ML workloads .

Posted 11/11/2026full-timeHyderabad • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in architecting and building end-to-end data platforms for large enterprises, with a strong focus on data governance, pipeline engineering, and cloud technologies. Proven ability to lead technical teams and engage in pre-sales activities, translating complex technical concepts for diverse audiences.

Highest-signal resume keywords
Data Platform ArchitecturePipeline Engineering Using Spark, SQL, And PythonCloud Expertise In Azure, AWS, Or GCPData Governance And LineagePre-Sales Technical Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ArchitecturePipeline EngineeringData GovernanceData ModelingBatch And Streaming PatternsCloud TechnologiesOrchestration ToolsTechnical Proposal DevelopmentMigration Strategies
Soft Skills
LeadershipCommunicationCollaborationTechnical DirectionClient Engagement
Tools & Technologies
DatabricksSnowflakeMicrosoft FabricAirflowADFDbtSQLPythonGenAIRAG
Certifications & Qualifications
Multi-Platform CertificationsDatabricks CertificationSnowflake CertificationMicrosoft Fabric Certification
Industry Keywords
Enterprise Data SolutionsFortune 500Consulting EnvironmentRegulated EnvironmentsGovernment Environments

Tech Stack

Tools & technologies
AirflowAWSAzureCloudGoogle Cloud PlatformPythonSnowflakeSparkSQLVault

About the role

Key responsibilities & impact
  • Architect and build end-to-end data platforms for large enterprise customers, including ingestion, lakehouse/warehouse modeling, transformation pipelines, orchestration, and serving layers for BI and AI/ML workloads
  • Lead delivery teams of data engineers by setting technical direction, reviewing designs and code, and owning quality
  • Design for data governance, lineage, security, cost optimization, and SLAs at scale
  • Build AI-ready data foundations, including pipelines and semantic layers for RAG, agentic, and ML use cases
  • Lead technical discovery and architecture conversations with customer-side senior/enterprise architects, CISOs, and CDOs
  • Own technical solutions in proposals and RFP responses, including target architecture, migration approach, effort estimates, and staffing shape
  • Build and demo PoCs/accelerators to de-risk sales
  • Shape platform selection discussions among Databricks, Snowflake, and Microsoft Fabric
  • Engage in a 60/40 delivery-to-pre-sales role across active engagements and new pursuits

Requirements

What you’ll need
  • 15+ years in data engineering/architecture
  • 4+ years architecting data platforms for Fortune 500 or comparable large enterprise customers in a consulting or services environment
  • Deep hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric; certification preferred
  • Working familiarity across Databricks, Snowflake, and Microsoft Fabric
  • Strong pipeline engineering using Spark, SQL, and Python
  • Experience with orchestration tools such as Airflow, ADF, dbt, or equivalent
  • Experience with batch and streaming patterns, CDC, and large-scale migrations
  • Cloud depth on at least one of Azure, AWS, or GCP, including networking, identity, and cost levers as applied to data platforms
  • Proven pre-sales exposure, including technical conversations with customer senior architects, proposals/RFPs, estimates, and architecture choices
  • Strong grounding in dimensional, data vault, and medallion/lakehouse data modeling
  • Strong grounding in data governance, including catalogs, lineage, and access control
  • Ability to translate between engineering teams and CXO/architect audiences
  • Multi-platform certifications preferred
  • Experience building data foundations for GenAI/agentic workloads preferred
  • Exposure to regulated or government environments preferred
  • Experience with Middle East or US enterprise customers preferred
  • Willingness to travel for client workshops

Benefits

Comp & perks
  • Flexible work schedules
  • Opportunities to work from home
  • Paid time off and holidays
  • Communication skills training
  • Stress Management program
  • Professional certifications
  • Technical and soft skill trainings
  • Competitive salaries
  • Family medical insurance
  • Personal Accident Insurance
  • Periodic health awareness program
  • Extended maternity leave
  • Annual performance bonuses
  • Referral bonuses
  • Collaborative work environment
  • Opportunities to work abroad in global centres