Data Architect

Experience - 13+ years

Location- Noida, Gurgaon, Pune, Mumbai, Bangalore

looking for Immediate joiners

Job Description:-

Key Responsibilities

Architecture & Technical Leadership

• Own the overall solution architecture across Data Engineering, Data Platform, and AI/ML workstreams.

• Define and govern reference architectures, design patterns, and technology standards for the engagement.

• Lead technical design reviews, architecture decision records (ADRs), and solution assessments.

• Ensure architectural integrity, scalability, and security compliance across all deliverables.

Client Relationship & Stakeholder Management

• Act as the primary technical liaison for client's leadership, and business stakeholders.

• Build and sustain trusted advisor relationships through proactive communication and executive-level presentations.

• Translate complex technical concepts into clear business value narratives for C-suite audiences.

• Manage stakeholder expectations, surface risks early, and negotiate scope adjustments collaboratively.

Sprint Governance & Delivery Oversight

• Lead sprint planning, backlog grooming, and velocity reviews across both the Data and AI tracks.

• Define sprint acceptance criteria and ensure technical quality gates are enforced at each milestone.

• Track delivery against contractual commitments, flagging schedule or quality risks proactively.

• Drive cross-track dependency resolution and coordinate resource allocation with Infogain delivery managers.

Escalation Management

• Serve as the single escalation point for all client-facing technical and delivery issues.

• Own incident resolution workflows, root-cause analyses, and corrective action plans.

• Facilitate structured escalation paths between Client's stakeholders and Infogain's leadership.

• Mediate technical disagreements within the POD and resolve blockers that impede sprint progress.

Required Skills & Qualifications

Core Technical Expertise

• Proven track record designing large-scale cloud data platforms on Azure (Synapse, ADLS Gen2, ADF, Databricks).

• Deep expertise in data warehousing, Lakehouse architectures, and medallion/Lambda/Kappa patterns.

• Hands-on proficiency with PySpark, SQL/T-SQL, dbt, and CI/CD tooling (Azure DevOps / GitHub Actions).

• Solid grounding in AI/ML platform design — MLflow, Azure ML, SageMaker, or equivalent — and integration with enterprise data products.

• Experience with semantic layers, Power BI / Tableau enterprise deployments, and BI governance frameworks.

Architecture & Governance

• Demonstrated ability to produce and defend ADRs, reference architectures, and data governance frameworks.

• Familiarity with data mesh, data product thinking, and enterprise metadata management (Purview, Alation, or equivalent).

• Knowledge of RBAC, data security, SOX/GDPR compliance patterns in cloud data environments.

Leadership & Communication

• 15+ years of experience in data engineering, with at least 3 years in client-facing architecture or technical lead capacity.

• Prior experience leading multi-track delivery PODs of 8–15+ engineers and analysts.

• Exceptional stakeholder communication skills — able to engage equally effectively with engineers and C-suite executives.

• Experience operating in consulting or professional services environments is strongly preferred.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert or equivalent cloud certification.

• Exposure to telecom, financial services, or large enterprise data ecosystems.

• Experience with GenAI / LLM integration patterns for enterprise data products.

• Prior onshore POD lead or engagement director experience with North American enterprise clients.