Senior Technical Consultant, Data

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the design and practical execution of intricate data, analytics, AI, cloud, and contemporary data platform solutions.

• Manage substantial technical workstreams and solution elements from the phases of discovery and design to build, testing, deployment, and stabilization.

• Convert business and technical specifications into scalable, secure, maintainable, and production-ready solutions.

• Create, implement, secure, monitor, and enhance modern data solutions, which encompass ingestion, transformation, orchestration, curated data layers, integrations, APIs, semantic artifacts, and data products.

• Develop automated pipelines for both structured and unstructured data utilizing batch, streaming, and cloud-native methodologies.

• Upgrade legacy SQL, ETL/ELT, data warehouse, data lake, integration, and orchestration workflows.

• Implement source control, code reviews, CI/CD, automated testing, monitoring, observability, performance enhancements, and production-readiness practices.

• Direct technical testing and validation efforts, including unit, integration, system, data-quality, regression, KPI reconciliation, defect resolution, and UAT support.

• Integrate governance and security requirements, covering metadata, lineage, classification, access controls, data quality, retention/lifecycle, and catalog or semantic artifacts.

• Diagnose complex technical and data challenges, pinpoint root causes, and drive resolution.

• Estimate and plan technical tasks, manage dependencies and commitments, and identify risks with suggested actions.

• Create and evaluate client-facing technical documentation, including designs, mappings, configurations, test evidence, runbooks, decisions, deployment materials, and handoff documents.

• Offer technical guidance, peer reviews, coaching, and mentorship to technical consultants and engineers.

• Collaborate with Principal Technical Consultants, Solution Architects, project managers, governance resources, and client subject matter experts.

• Participate in technical discovery, assessments, estimates, solution methodologies, proofs of concept, proposals, statements of work, and pre-sales endeavors.

• Contribute reusable engineering assets, implementation patterns, standards, lessons learned, technical enablement, onboarding, interviewing, and certification development.

• Maintain proficiency across modern data platforms, cloud technologies, AI, governance, analytics, integration, and emerging engineering practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, Data Science, or a related technical field, or equivalent professional experience.

• Typically 8–12+ years of professional technical experience in delivering enterprise data, analytics, AI, cloud, or digital transformation solutions.

• Proven experience in consulting or professional services, working directly with clients and independently managing complex technical workstreams or solution components.

• Strong practical experience in modern data engineering and architecture, including data modeling, SQL, Python or similar programming languages, ETL/ELT, orchestration, data integration, APIs, data warehouse/lake/lakehouse patterns, and cloud-native services.

• Familiarity with one or more contemporary data platforms such as Snowflake, Databricks, Microsoft Fabric, or equivalent cloud data technologies.

• Experience in AWS, Azure, or Google Cloud environments.

• Expertise in designing and implementing automated data pipelines for structured and/or unstructured data using batch, streaming, or event-driven patterns.

• Solid understanding of software/data engineering lifecycle practices including Git/source control, peer reviews, 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 clearly communicate technical findings and recommendations.

• Strong client-facing communication, facilitation, documentation, analytical problem-solving, and stakeholder collaboration skills.

• Demonstrated capability to guide other engineers, review technical work, and enhance team quality without functioning as the overall architectural authority for the engagement.

• Preferred 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 in 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.

🏝️ 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 to support work-life balance.

• Opportunities for learning and development to foster continuous growth and upskilling.

• Employee wellness initiatives and programs focused on physical and mental well-being.

• Retirement and statutory benefits in accordance with India regulations.

• An inclusive and people-first culture, emphasizing collaboration and ownership.

• Cross-department training and development opportunities.

• Sponsorship for certifications and credentials for ongoing learning.

• Access to a multi-million-dollar technology lab.