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Job Description

We are looking for a Director Data Engineering to join our growing team. This individual will support and mentor developers and data engineers while helping to define and deliver solutions for clients.

We are looking for someone who has a background in data architecture as well as experience in implementation, product selection, definition, configuration, migration and cloud hosted solutions.

As director of data engineering you will be able to demonstrate an understanding of the different aspects of data architecture, including the pros and cons of different approaches. You are the senior-level data technologist that is the trusted advisor of our clients.

Responsibilities: 

  • Work with clients to understand business requirements
  • Develop solution architectures which work within cloud and on-premise environments
  • Design robust, reusable and scalable data solutions and pipeline frameworks to automate ingestion, processing and delivery of batch and real-time streaming data
  • Providing assessments of current state architecture and recommending future state architecture
  • Lead the development and on-going maintenance of clients’ target state data architecture roadmap in collaboration with clients’ technology and business partners. Ensure alignment of new and existing data initiatives with the target state data architecture
  • Present architecture and designs to a variety of technical and non-technical stakeholders
  • Oversee the design and implementation of data and analytics solutions on cloud platforms
  • Build and maintain conceptual, logical and physical data models for transactional, BI and analytical platforms
  • Define standards and best practices for enterprise data management frameworks for clients
  • Play an active role in all stages of a data solution life cycle: acquisition, ingestion, curation, publication, quality and metadata to ensure consistency with data management standards and best practices.
  • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.
  • Assist in cost-benefit analyses for proposed solutions to aid client management in making implementation decisions
  • Conduct research on software and systems products to justify recommendations and to support purchasing efforts
  • Design, develop, implement and document policies and procedures for internal and client network and systems administration, usage, and disaster recovery
  • Evaluate, recommend and implement new data products and/or Cloud services to extend the reliability, responsiveness, and effective use of the data solutions
  • Make recommendations for software, hardware, data storage upgrades and data security

Desired Skills and Experience

  • Bachelor’s Degree in Computer Science, Computer Engineering or equivalent work experience
  • 5+ years of experience with data warehousing, big data and cloud technologies with focus on the enterprise data architecture discipline
  • 5+ years of hands-on experience in architecture, design and development of enterprise data solutions that enables well integrated transactional, BI and analytical platforms
  • 3+ years of experience with Cloud platforms (AWS, GCP, Azure)
  • 3+ years of experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)
  • Cloud Architect certification (e.g. AWS Solution Architect Certified, Google Certified Professional Cloud Architect, and/or Microsoft Certified: Azure Solutions Architect Expert
  • Experience with cloud technologies such as Snowflake, BigQuery, Redshift, Apache Airflow, Talent ETL
  • Deep experience with data modeling, analysis, metadata and quality
  • Expert knowledge of SQL
  • Data lifecycle management including data retention, archive and purge planning
  • Ability to work with ambiguity, translate high-level direction to specific deliverables and effectively plan self-assigned tasks efficiently in complex work streams
  • Strong business acumen, high detail-orientation and solid logic
  • Google Analytics or Adobe Analytics experience would be a strong asset
  • Experience with Big Data Stacks like Hadoop, Spark, Hive 
  • Familiar with modern DevOps practices
  • Knowledge of container frameworks (Docker / Kubernetes) would be a strong asset
  • Machine learning algorithms
  • Reporting / Visualization tools like Tableau

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Bachelor’s Degree in Computer Science/Computer Engineering
Career Level:
Experienced Professional
Minimum Experience:
5 Years
Apply Before:
Nov 07, 2020
Posting Date:
Oct 07, 2020
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Addo Ai

Information Technology · 11-50 employees - Islamabad, Lahore

Addo Ai

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