Modern Data Platform Architect

Position Overview

The Modern Data Platform (MDP) Architect is responsible for designing, building, and operating enterprise‑grade data and analytics platforms using modern, cloud‑native, and platform‑agnostic architectures. The role supports organizations in enabling trusted data, analytics, BI, and AI/ML use cases in a scalable, secure, and cost‑effective manner.

Depending on experience and seniority, the role may focus on hands‑on platform development and delivery (Developer / Consultant) or on end‑to‑end data platform architecture, standards, and data strategy (Architect). The role collaborates closely with business stakeholders, data teams, cloud architects, and security teams to ensure platforms are future‑proof, governed, and enterprise‑ready.

Key Responsibilities

• Data Platform Design & Delivery
• Design and implement modern data platforms using cloud‑agnostic patterns such as:
• Data lakes, lakehouses, and data warehouses
• Batch, streaming, and near‑real‑time data processing
• Build data ingestion, transformation, and analytics pipelines
• Enable data consumption for BI, analytics, and downstream applications
• Support integration with multiple cloud platforms and data technologies

Architecture & Platform Standards (Architect Focus)

• Define Modern Data Platform reference architectures independent of vendor or cloud
• Establish standards for:

*Data ingestion and integration

*Data modeling and analytics

*Governance, security, and access

• Design scalable, resilient, and cost‑optimized data architectures
• Provide architectural oversight and governance across delivery teams

Data Engineering, Analytics & AI Enablement

• Develop and optimize data pipelines and transformations
• Design analytical and reporting data models
• Implement data quality, metadata, and lineage practices
• Support advanced analytics and AI/ML enablement where required

Operations, Governance & Optimization

• Define monitoring, performance tuning, and cost‑management practices
• Ensure data security, privacy, and compliance controls are applied
• Support platform lifecycle management, CI/CD, and environment strategy
• Contribute to platform documentation, standards, and operational runbooks

Collaboration & Advisory

· Collaborate with analysts, data scientists, and application teams

· Advise stakeholders on Databricks capabilities and design trade-offs

· Mentor junior engineers and consultants (Senior / Architect level)

Qualifications and Skills

MDP Databricks Consultant

· 10–15+ years of data and analytics experience

· 7–10+ years designing enterprise‑scale data platforms

· Proven experience defining lakehouse architectures and data strategies

Technical Skills

• Strong understanding of modern data architectures (Lake, Lakehouse, Warehouse)
• Experience with multiple data platforms or cloud ecosystems
• Strong SQL, data modeling, and analytical design skills
• Exposure to streaming, real‑time, or event‑driven data processing
• Understanding of data governance, security, and cost optimization

Preferred Qualifications (Key Certifications)

• Cloud data or analytics certifications (Azure, AWS, GCP)
• Platform‑specific certifications (Fabric, Databricks, Snowflake – desirable, Informatics- desirable)
• Architecture certifications (Architect level – desirable)