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Senior Technical Consultant, Data

3 weeks, 1 day ago
India
Full-time
Lead
Data Engineer
Software Development
Agile AWS Azure CI/CD Databricks GCP Git Machine Learning Python Snowflake SQL
Apply Now
AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 83

Description

  • Own complex technical workstreams from discovery and design through build, testing, deployment, and stabilization.
  • Translate business requirements and architecture direction into scalable, secure, maintainable technical solutions.
  • Design, build, secure, monitor, and optimize modern data solutions, pipelines, integrations, APIs, and data products.
  • Lead technical workshops, design discussions, troubleshooting sessions, demonstrations, and implementation planning.
  • Apply engineering practices including source control, code review, CI/CD, automated testing, monitoring, observability, and production readiness.
  • Lead testing, validation, data-quality checks, defect resolution, UAT support, and acceptance-criteria verification.
  • Provide technical direction, code and design reviews, coaching, and mentoring to consultants and engineers.
  • Communicate technical decisions, risks, dependencies, tradeoffs, and recommendations to clients and stakeholders.
  • Contribute to technical discovery, estimates, proposals, proofs of concept, and statements of work.
  • Create reusable engineering assets, standards, documentation, and lessons learned for the Data Practice.

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 experience delivering enterprise data, analytics, AI, cloud, or digital transformation solutions.
  • Consulting or professional services experience with direct client engagement and ownership of complex technical workstreams.
  • Strong hands-on experience with data modeling, SQL, Python or similar programming, ETL/ELT, orchestration, APIs, integration, and warehouse, lake, or lakehouse patterns.
  • Experience with Snowflake, Databricks, Microsoft Fabric, or comparable modern data platforms.
  • Experience working in AWS, Azure, or Google Cloud environments.
  • Experience designing automated pipelines for structured or unstructured data using batch, streaming, or event-driven patterns.
  • Knowledge of Git, peer review, CI/CD, automated testing, monitoring, observability, security, and production operations.
  • Strong analytical, troubleshooting, documentation, facilitation, communication, and stakeholder-collaboration skills.
  • Preferred: relevant certifications, experience with data governance, metadata, lineage, semantic modeling, AI/ML, legacy modernization, or technical practice enablement.

Benefits

  • Comprehensive health insurance with options to cover dependents.
  • Paid time off, company holidays, and additional leave benefits.
  • Flexible work arrangements supporting work-life balance.
  • Learning and development opportunities, including sponsored certifications and credentials.
  • Employee wellness programs supporting physical and mental well-being.
  • Retirement and statutory benefits in line with India regulations.
  • Inclusive, collaborative, people-first culture focused on ownership and belonging.

Interested in this position?

Apply directly on the company website

Apply Now

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