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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in modern data engineering and architecture, including the design and implementation of scalable data solutions, automated data pipelines, and cloud-native services. Proficient in translating complex business and technical requirements into production-ready implementations while ensuring data governance and security.
Highest-signal resume keywords
Modern Data EngineeringAutomated Data PipelinesCloud Data TechnologiesData GovernanceClient-Facing Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSQLPythonETL/ELTData IntegrationAPIsData WarehouseData LakeCloud-Native ServicesData Quality
Soft Skills
Analytical Problem-SolvingStakeholder CollaborationFacilitationDocumentation
Tools & Technologies
SnowflakeDatabricksMicrosoft FabricAWSAzureGoogle Cloud
Certifications & Qualifications
Snowflake CertificationDatabricks CertificationMicrosoft Fabric CertificationAWS CertificationGoogle Cloud Platform Certification
Industry Keywords
Data GovernanceMetadataLineageSemantic ModelingAI/MLUnstructured Data Solutions
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Lead the design and hands-on delivery of complex data, analytics, AI, cloud, and modern data platform solutions
- Own significant technical workstreams and solution components from discovery and design through build, test, deployment, and stabilization
- Translate business and technical requirements into scalable, secure, maintainable, and production-ready implementations
- Design, build, operationalize, secure, monitor, and optimize modern data solutions, including ingestion, transformation, orchestration, curated data layers, integrations, APIs, semantic artifacts, and data products
- Develop automated pipelines for structured and unstructured data using batch, streaming, and cloud-native patterns
- Modernize legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workloads
- Apply source control, code review, CI/CD, automated testing, monitoring, observability, performance optimization, and production-readiness practices
- Lead technical testing and validation, including unit, integration, system, data-quality, regression, KPI reconciliation, defect resolution, and UAT support
- Incorporate governance and security requirements, including metadata, lineage, classification, access controls, data quality, retention/lifecycle, and catalog or semantic artifacts
- Troubleshoot complex technical and data issues, identify root causes, and drive resolution
- Estimate and plan technical work, manage dependencies and commitments, and surface risks with recommended actions
- Produce and review client-ready technical documentation, including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documentation
- Provide technical direction, peer review, coaching, and mentoring to technical consultants and engineers
- Partner with Principal Technical Consultants, Solution Architects, project managers, governance resources, and client SMEs
- Contribute to technical discovery, assessments, estimates, solution approaches, proofs of concept, proposals, statements of work, and pre-sales activities
- Contribute reusable engineering assets, implementation patterns, standards, lessons learned, technical enablement, onboarding, interviewing, and certification development
- Maintain expertise across modern data platforms, cloud technologies, AI, governance, analytics, integration, and emerging engineering practices
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or a related technical discipline, or equivalent professional experience
- Typically 8–12+ years of professional technical experience delivering enterprise data, analytics, AI, cloud, or digital transformation solutions
- Demonstrated consulting or professional services experience working directly with clients and independently owning complex technical workstreams or solution components
- Strong hands-on experience in modern data engineering and architecture, including data modeling, SQL, Python or similar programming, ETL/ELT, orchestration, data integration, APIs, data warehouse/lake/lakehouse patterns, and cloud-native services
- Experience with one or more modern data platforms such as Snowflake, Databricks, Microsoft Fabric, or comparable cloud data technologies
- Experience working in AWS, Azure, or Google Cloud environments
- Experience designing and implementing automated data pipelines for structured and/or unstructured data using batch, streaming, or event-driven patterns
- Strong understanding of software/data engineering lifecycle practices including Git/source control, peer review, CI/CD, automated testing, monitoring/observability, security, and production operations
- Ability to analyze complex source data and systems, troubleshoot root causes, validate and reconcile outputs, and communicate technical findings and recommendations clearly
- Strong client-facing communication, facilitation, documentation, analytical problem-solving, and stakeholder collaboration skills
- Demonstrated ability to guide other engineers, review technical work, and improve team quality without serving as the overall architectural authority for the engagement
- Professional certifications in Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, data engineering, AI, governance, or related enterprise technologies preferred
- Experience with metadata/catalog, lineage, data governance, semantic modeling, data quality, AI/ML, unstructured-data solutions, or search/AI integration preferred
- Experience modernizing legacy data platforms, SQL/ETL workloads, integrations, or enterprise data warehouses into cloud-native architectures preferred
- Experience contributing to technical discovery, estimates, proposals, statements of work, reference architectures, reusable engineering frameworks, or technical practice enablement preferred
Benefits
Comp & perks- Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
- Paid time off and company holidays, along with additional leave benefits as per policy
- Flexible work arrangements, supporting work-life balance
- Learning and development opportunities to support continuous growth and upskilling
- Employee wellness initiatives and programs focused on physical and mental well-being
- Retirement and statutory benefits in line with India regulations
- Inclusive and people-first culture, with a strong focus on collaboration and ownership
- Cross department training and development
- Sponsoring certifications and credentials for continued learning
- Multi-million-dollar technology lab