Data Architect

Taraki is hiring for one of its clients.

Location: Remote

Experience Level: 10+ years in Data Architecture and Data Platform Design

Department: Data & AI Engineering

Compensation: 850,000 to 1,200,000 PKR (based on experience)

Role Summary

The Data Architect will design and govern the complete data ecosystem for the Value X platform including data ingestion, processing, modeling, storage, orchestration, and governance.

Data Architecture Blueprint

The architect will define the data architecture blueprint supporting the systems core modules:

Customer Segmentation

Business Decisioning & Offer Assignment Engine

Real-Time Offer Orchestration Module (ROOM)

ML/AI Model Management & Simulation Engine

The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning with a focus on performance, cost optimization, and maintainability.

Key Responsibilities

Data Architecture & Design

Define the end-to-end data architecture across batch, streaming, and real-time layers.

Design Customer 360 and Offer 360 data models, including feature store and historical layers.

Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration.

Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations.

Set up data versioning and lineage frameworks to track data provenance.

Data Ingestion & Integration

Architect data ingestion pipelines from multiple telco sources:

OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs.

Define patterns for real-time event ingestion (recharge, offer purchase, balance check).

Standardize data access through APIs or data products for downstream modules.

Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, Decision Rules.io, KNIME).

Data Management & Governance

Define and enforce data quality, lineage, catalog, and access policies.

Set up data validation and DQ frameworks (Great Expectations, Deequ).

Govern data partitioning, schema evolution, retention, and archiving strategies.

Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies).

Scalability, Cost & Performance

Design for high performance and cost-efficient scalability (25M 50M 75M customers).

Monitor and manage query performance, cluster sizing, and job orchestration costs.

Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment.

Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry).

Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx).

Provide best practices and design patterns for model deployment, retraining, and data lifecycle management.

Required Skills & Expertise

Data Architecture: Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management ETL/ELT & Orchestration: Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory

Streaming & Real-Time: Apache Kafka, Spark Streaming, Kinesis, Flink

Data Modeling: Customer 360, Offer 360, Transaction 360, Feature Store

Cloud Platforms: AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (Big Query, Dataflow)

Storage & Compute: Delta Lake, Parquet, Iceberg, Snowflake

Data Quality & Governance: Great Expectations, Deequ, Data Hub, Collibra

Programming & Scripting: Python, SQL, Py Spark, YAML

API & Integration: Design REST, Graph QL, Kafka Connect, JSON schema

Security & Compliance: IAM, encryption (KMS), access control, masking, PDPA compliance

Educational Background

Bachelors or Masters degree in Computer Science, Data Engineering, or related fields.

Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred

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