Remote eligible location: India.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
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.
Senior 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.
Beyond 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.
Expectations:
Senior 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.
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Plan and prioritize technical work, anticipate dependencies, identify risks early, and drive routine next steps without requiring step-by-step direction.
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Maintain accountability for the quality, completeness, timeliness, and production readiness of technical deliverables within assigned scope.
Consulting and Client Effectiveness
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Clearly define technical problems, impacts, assumptions, constraints, and success criteria before moving into execution.
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Connect technical decisions to client business objectives, operational outcomes, delivery feasibility, and long-term maintainability.
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Demonstrate deep hands-on capability in one or more modern data, cloud, analytics, AI, governance, or integration disciplines and sufficient breadth to understand adjacent components.
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Design and implement solutions that are scalable, secure, testable, maintainable, observable, performant, and supportable.
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Balance technical quality with delivery constraints, client priorities, implementation effort, and operational realities.
Team Leadership and Practice Contribution
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Help teams operate with ownership, structured problem solving, engineering discipline, and proactive communication.
Roles and Responsibilities:
Technical Delivery and Workstream Leadership
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Own and lead complex technical workstreams or major solution components from discovery and design through build, test, deployment, and stabilization.
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Lead technical working sessions, design discussions, demonstrations, troubleshooting sessions, and implementation planning with client and AHEAD teams.
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Translate business requirements, source-system knowledge, architecture direction, and acceptance criteria into practical, scalable, secure, and maintainable technical solutions.
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Design, build, operationalize, secure, monitor, and optimize modern data solutions, including ingestion, transformation, orchestration, curated data layers, integrations, APIs, semantic artifacts, and data products.
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Modernize legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workloads; support dependency mapping, reverse engineering, migration, cutover, and stabilization.
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Apply engineering discipline through source control, code review, CI/CD, automated testing, monitoring, observability, performance optimization, and production-readiness practices.
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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.
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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.
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Troubleshoot complex technical and data issues, identify root causes, develop options, and drive resolution with business users, client SMEs, architects, and engineering teams.
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Produce and review client-ready technical documentation including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documentation.
Technical Leadership and Team Enablement
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Review code, designs, data models, pipelines, integrations, and engineering deliverables for quality, consistency, maintainability, and alignment with established architecture and standards.
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Coach team members on structured problem solving, engineering practices, troubleshooting, documentation, and client-ready communication.
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Drive consistency across implementation by leveraging AHEAD reference architectures, reusable components, templates, engineering frameworks, and delivery standards rather than recreating solutions.
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Partner 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.
Client Consulting and Solution Development
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Operate as a consultant, not only a technical task executor: understand the client problem, business context, expected outcome, constraints, and tradeoffs before recommending or implementing a solution.
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Communicate technical decisions, risks, assumptions, dependencies, tradeoffs, and recommendations clearly to technical and business stakeholders.
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Build credibility with client technology and business stakeholders through preparation, sound technical judgment, reliable execution, and proactive communication.
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Contribute 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.
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Identify opportunities for technical improvement, modernization, automation, or follow-on work and raise them through the appropriate engagement and account leadership.
Practice Development and Continuous Improvement
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Contribute reusable engineering assets, implementation patterns, accelerators, standards, lessons learned, and technical documentation back to the Data Practice.
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Support knowledge sharing, technical enablement, onboarding, interviewing, and certification development for the technical consulting community.
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Maintain current expertise in modern data platforms, cloud technologies, AI, governance, analytics, integration, and emerging engineering practices.
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Pursue relevant technical certifications and develop broader consulting, communication, facilitation, business, and delivery skills in preparation for Principal Technical Consultant responsibilities.
Qualifications:
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Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or a related technical discipline, or equivalent professional experience.
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Typically 8–12+ years of professional technical experience delivering enterprise data, analytics, AI, cloud, or digital transformation solutions.
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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.
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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.
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Strong understanding of software/data engineering lifecycle practices including Git/source control, peer review, CI/CD, automated testing, monitoring/observability, security, and production operations.
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Ability to analyze complex source data and systems, troubleshoot root causes, validate and reconcile outputs, and communicate technical findings and recommendations clearly.
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Strong client-facing communication, facilitation, documentation, analytical problem-solving, and stakeholder collaboration skills.
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Professional certifications in Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, data engineering, AI, governance, or related enterprise technologies.
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Experience with metadata/catalog, lineage, data governance, semantic modeling, data quality, AI/ML, unstructured-data solutions, or search/AI integration.
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Experience modernizing legacy data platforms, SQL/ETL workloads, integrations, or enterprise data warehouses into cloud-native architectures.
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Experience contributing to technical discovery, estimates, proposals, statements of work, reference architectures, reusable engineering frameworks, or technical practice enablement.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
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