{"id":1023053,"url":"https://alion.io/job/ahead-senior-technical-consultant-data","title":"Senior Technical Consultant, Data","company":{"id":3614,"name":"AHEAD","domain":"ahead.com","url":"https://alion.io/company/ahead","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":42,"ghost_share":0,"stale_share":0.881,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":53000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-18T06:19:22Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-28T23:44:42Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"The Senior Technical Consultant is an experienced, client-facing technical professional responsible for leading the design and hands-on delivery of complex data, analytics, AI, cloud, and modern data platform solutions. Operating between the Technical Consultant and Principal Technical Consultant levels, the role combines deep technical execution with solution leadership, consultative problem solving, client engagement, and team enablement.\nSenior Technical Consultants independently own significant technical workstreams and solution components, translate business and technical requirements into scalable implementations, guide other engineers, and ensure work is tested, documented, secure, maintainable, and production-ready. They are expected to lead through technical credibility and hands-on delivery while escalating enterprise architecture, cross-workstream governance, or critical technical decisions to the Principal Technical Consultant or Solution Architect when appropriate.\nBeyond client delivery, Senior Technical Consultants strengthen the Data Practice by mentoring less-experienced technical consultants, contributing reusable engineering patterns and standards, supporting technical discovery and proposal development, and continuously expanding expertise across modern data, cloud, governance, analytics, and AI technologies.\nExpectations:\nSenior Technical Consultants are expected to consistently demonstrate strong technical execution, structured thinking, consultative behavior, ownership, proactive communication, and emerging technical leadership. They should independently drive complex technical work while helping less-experienced team members succeed and maintaining alignment with the broader architecture and delivery strategy.\nLeadership and Ownership\nTake end-to-end ownership of assigned technical workstreams and outcomes, not just individual development tasks.\n\nPlan and prioritize technical work, anticipatedependencies, identifyrisks early, and drive routine next steps without requiring step-by-step direction.\n\nBring problems with analysis, options, and a recommended path forward; escalate early when decisions or risks exceed workstream authority.\n\nMaintain accountability for the quality, completeness, timeliness, and production readiness of technical deliverables within assigned scope.\n\nConsulting and Client Effectiveness\nClearly define technical problems, impacts, assumptions, constraints, and success criteria before moving into execution.\n\nConnect technical decisions to client business objectives, operational outcomes, delivery feasibility, and long-term maintainability.\n\nCommunicate in a structured, concise, audience-appropriate manner and participateconfidently in client-facing workshops and technical decision-making.\n\nProvide insights and recommendations rather than only status updates or technical findings.\n\nTechnical Excellence\nDemonstrate deep hands-on capability in one or more modern data, cloud, analytics, AI, governance, or integration disciplines and sufficient breadth to understand adjacent components.\n\nDesign and implement solutions that are scalable, secure, testable, maintainable, observable, performant, and supportable.\n\nApply architecture and engineering standards consistently and use design/code reviews to improve quality across the team.\n\nBalance technical quality with delivery constraints, client priorities, implementation effort, and operational realities.\n\nTeam Leadership and Practice Contribution\nProvideclear technical guidance, constructive peer review, and practical coaching to less-experienced technical consultants.\n\nHelp teams operatewith ownership, structured problem solving, engineering discipline, and proactive communication.\n\nContribute reusable assets and lessons learned that improvedelivery quality, scalability, and consistency across the practice.\n\nDemonstrate readiness for progression by increasingly shaping technical direction while recognizing thatenterprise architecture governance and overall technical accountability sit with the Principal Technical Consultant.\n\nRoles and Responsibilities:\nTechnical Delivery and Workstream Leadership\nOwn and lead complex technical workstreams or major solution components from discovery and design through build, test, deployment, and stabilization.\n\nLead technical working sessions, design discussions, demonstrations, troubleshooting sessions, and implementation planning with client and AHEAD teams.\n\nTranslate business requirements, source-system knowledge, architecture direction, and acceptance criteria into practical, scalable, secure, and maintainable technical solutions.\n\nDesign, build, operationalize, secure, monitor, and optimizemodern data solutions, including ingestion, transformation, orchestration, curated data layers, integrations, APIs, semantic artifacts, and data products.\n\nDevelop robust automated pipelines for structured and unstructured data using batch, streaming, and cloud-native patterns as appropriate.\n\nModernize legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workloads; support dependency mapping, reverse engineering, migration, cutover, and stabilization.\n\nApply engineering discipline through source control, code review, CI/CD, automated testing, monitoring, observability, performance optimization, and production-readiness practices.\n\nLead technical testing and validation activities including unit, integration, system, data-quality, regression, KPI reconciliation, defect resolution, UAT support, and Definition of Done / acceptance criteria.\n\nIncorporategovernance and security requirements into technical delivery, including metadata, lineage, classification, access controls, data quality, business definitions, retention/lifecycle, and catalog or semantic artifacts.\n\nTroubleshoot complex technical and data issues, identifyroot causes, develop options, and drive resolution with business users, client SMEs, architects, and engineering teams.\n\nEstimate and plan technical work within agile delivery models, manage dependencies and technical commitments, and proactively surface risks or delivery impacts with recommended actions.\n\nProduce and review client-ready technical documentation including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documentation.\n\nTechnical Leadership and Team Enablement\nProvide day-to-day technical direction to Technical Consultants, Associate Technical Consultants, and offshore/onshore engineers within assigned workstreams.\n\nReview code, designs, data models, pipelines, integrations, and engineering deliverables for quality, consistency, maintainability, and alignment with established architecture and standards.\n\nCoach team members on structured problem solving, engineering practices, troubleshooting, documentation, and client-ready communication.\n\nDrive consistency across implementation by leveragingAHEAD reference architectures, reusable components, templates, engineering frameworks, and delivery standards rather than recreating solutions.\n\nPartner closely with Principal Technical Consultants, Solution Architects, Senior Consultants, Principal Consultants, Project Managers, governance resources, and client SMEs to keep technical execution aligned with solution direction and business outcomes.\n\nAct as a technical escalation point within assigned workstreams and know when issues require escalation to the Principal Technical Consultant or architectureleadership.\n\nClient Consulting and Solution Development\nOperate as a consultant, not only a technical task executor: understand the clientproblem, business context, expected outcome, constraints, and tradeoffs before recommending or implementing a solution.\n\nCommunicate technical decisions, risks, assumptions, dependencies, tradeoffs, and recommendations clearly to technical and business stakeholders.\n\nBuild credibility with client technology and business stakeholders through preparation, sound technical judgment, reliable execution, and proactive communication.\n\nContribute to technical discovery, assessments, estimates, solution approaches, proofs of concept, proposals, statements of work, and pre-sales activities with implementation insight grounded in delivery feasibility, effort, dependencies, and risk.\n\nIdentifyopportunities for technical improvement, modernization, automation, or follow-on work and raise them through the appropriate engagementand account leadership.\n\nPractice Development and Continuous Improvement\nContribute reusable engineering assets, implementation patterns, accelerators, standards, lessons learned, and technical documentation back to the Data Practice.\n\nSupport knowledge sharing, technical enablement, onboarding, interviewing, and certification development for the technical consulting community.\n\nMaintain current expertisein modern data platforms, cloud technologies, AI, governance, analytics, integration, and emerging engineering practices.\n\nPursue relevant technical certifications and develop broader consulting, communication, facilitation, business, and delivery skills in preparation for Principal Technical Consultant responsibilities.\n\nQualifications:\nRequired\nBachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or a related technical discipline, or equivalent professional experience.\n\nTypically8-12+ years of professional technical experience delivering enterprise data, analytics, AI, cloud, or digital transformation solutions.\n\nDemonstrated consulting or professional services experience working directly with clients and independently owning complex technical workstreams or solution components.\n\nStrong 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/lakehousepatterns, and cloud-native services.\n\nExperience 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.\n\nExperience designing and implementing automated data pipelines for structured and/or unstructured data using batch, streaming, or event-driven patterns as applicable.\n\nStrong understanding of software/data engineering lifecycle practices including Git/source control, peer review, CI/CD, automated testing, monitoring/observability, security, and production operations.\n\nAbility to analyze complex source data and systems, troubleshoot root causes, validateand reconcile outputs, and communicate technical findings and recommendations clearly.\n\nStrong client-facing communication, facilitation, documentation, analytical problem-solving, and stakeholder collaboration skills.\n\nDemonstrated ability to guide other engineers, review technical work, and improve team quality without serving as the overall architectural authority for the engagement.\n\nPreferred\nProfessional certifications in Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, data engineering, AI, governance, or related enterprise technologies.\n\nExperience with metadata/catalog, lineage, data governance, semantic modeling, data quality, AI/ML, unstructured-data solutions, or search/AI integration.\n\nExperience modernizing legacy data platforms, SQL/ETL workloads, integrations, or enterprise data warehouses into cloud-native architectures.\n\nExperience contributing to technical discovery, estimates, proposals, statements of work, reference architectures, reusable engineering frameworks, or technical practice enablement.","description_format":"text","description_chars":11683,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)","AI Consulting & Integration","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-18T08:39:05Z"}],"liveness":{"score":61,"band":"ok","label":"Likely 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