Senior Data Architect Lead

6 days ago

Multan, Punjab, Pakistan beBeeDataEngineer Full time $200,000 - $250,000

We are seeking a seasoned Senior Data Architect to spearhead the design and implementation of our data infrastructure.

This is a remote full-time position, responsible for creating scalable and efficient data architectures, defining standards and best practices for data management, ensuring high data quality and accessibility for analytics and business intelligence purposes.

We need someone who can quickly ramp up, contribute right away and lead the work in Data & Analytics, helping from backlog definition, to architecture decisions, and lead technical the rest of the team with minimal oversight.

Responsibilities:
  • Data Architecture and Design:
  • Create highly scalable and efficient data architectures that meet business needs, defining and maintaining standards and best practices for data management.
  • Design, implement, deploy, test and maintain data systems, including data flow controls.
  • Data Management:
  • Evaluate and implement new technologies and tools to improve data integration, data processing and analysis.
  • Takes ownership of storage layer, data management tasks, including schema design, indexing, and performance tuning.
  • Team Leadership:
  • Mentoring and guiding junior/mid-level data engineers.
  • Collaborating with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components.
  • Data Governance:
  • Evaluate, design, and implement data governance solutions: cataloging, lineage, quality and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns.
  • Define and document data engineering architectures, processes and data flows.
  • Data Integration:
  • Strong experience in implementing data pipelines and efficient ELT/ETL processes, batch and real-time, in AWS and using open source solutions.
  • Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming.
  • Cloud Computing:
  • Expert in Cloud Computing in AWS, including deep knowledge of a variety of AWS services like Lambda, Kinesis, S3, Lake Formation, EC2, EMR, ECS/ECR, IAM, CloudWatch, etc.
Qualifications:
  • Must have a full-time Bachelor's degree in Computer Science Information Systems, Engineering, or a related field.
  • 5+ years of real-world data engineering development experience in AWS and GCP (certifications preferred).
  • Senior person who can understand requirements and design end to end solutions with minimal oversight.
  • Strong programming Skills in one or more languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing and manipulation.
Benefits:
  • Excellent communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analyst, data scientists, developers, and operations teams.
  • Good understanding of Data Modeling and Database Design Principles.
  • Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries.
Others:
  • Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive.
  • Strong project management and organizational skills.
Skill Keywords:
  • Data Architecture
  • Data Engineering
  • Data Governance
  • ELT/ETL
  • AWS
  • Cloud Computing

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