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Senior Technical Consultant, Data

AHEAD· Digital Solutions Group / Data & Analytics
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RemoteFull-timePosted 4w ago

About the role

Senior Technical Consultant responsible for leading design and hands-on delivery of complex data, analytics, AI, cloud, and modern data platform solutions, with client engagement, solution leadership, and team enablement.

Responsibilities

  • Own and lead complex technical workstreams or major solution components from discovery and design through build, test, deployment, and stabilization.
  • Lead technical working sessions, design discussions, demonstrations, troubleshooting sessions, and implementation planning with client and AHEAD teams.
  • Translate business requirements, source-system knowledge, architecture direction, and acceptance criteria into practical, scalable, secure, and maintainable technical solutions.
  • 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 robust automated pipelines for structured and unstructured data using batch, streaming, and cloud-native patterns as appropriate.
  • Modernize legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workloads; support dependency mapping, reverse engineering, migration, cutover, and stabilization.
  • Apply engineering discipline through source control, code review, CI/CD, automated testing, monitoring, observability, performance optimization, and production-readiness practices.
  • Lead technical testing and validation activities including unit, integration, system, data-quality, regression, KPI reconciliation, defect resolution, UAT support, and Definition of Done / acceptance criteria.
  • Incorporate governance and security requirements into technical delivery, including metadata, lineage, classification, access controls, data quality, business definitions, retention/lifecycle, and catalog or semantic artifacts.
  • Troubleshoot complex technical and data issues, identify root causes, develop options, and drive resolution with business users, client SMEs, architects, and engineering teams.
  • Estimate and plan technical work within agile delivery models, manage dependencies and technical commitments, and proactively surface risks or delivery impacts with recommended actions.
  • Produce and review client-ready technical documentation including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documentation.

Qualifications

  • 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, and 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 as applicable.
  • 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.

Skills

Required:Data engineeringSQLPython or similar programmingETL/ELTCloud platforms (AWS/Azure/GCP)

Benefits

  • 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
  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About AHEAD

Digital Platforms Engineered for Modern Enterprises

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

Platform SolutionsInfrastructure ModernizationLifecycle ManagementSeamless Integration
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