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Mid Data Architect

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Pretoria

AI generated summary

  • You need a Master’s/Ph.D. in a relevant field, 5+ years in data architecture, expertise in big data platforms, programming, SQL, cloud familiarity, and advanced skills in data visualization.
  • You will design data models, implement machine learning algorithms, lead projects, mentor specialists, and enhance data processes while ensuring collaboration and continuous improvement.

Requirements

  • Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 5+ years of experience in data architecture, data engineering, or a related field.
  • Proven experience leading data projects and managing teams.
  • Extensive experience with big data platforms (cloud and on-premise), data modeling, data analysis, statistical modeling, and machine learning.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
  • Proficiency with data modeling tools.
  • Strong SQL skills and experience with relational and NoSQL databases.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.

Responsibilities

  • Design advanced conceptual, logical and physical data organizations, models, repository, dashboards, reports within a complete functional and technical architecture.
  • Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
  • Partner with other architects, infrastructure and software experts to define metadata layers, technical strategy and optimal integration within existing client IT landscape.
  • Translate to technical designers or developers designed solution, review proposed solution and optimize it when required.
  • Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes …)
  • Be accountable for the end-to-end solution.
  • Lead data projects from conception to deployment.
  • Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.
  • Define project scope, goals, and deliverables that support business objectives.
  • Mentor and provide guidance to data specialists.
  • Foster a collaborative and innovative team environment.
  • Communicate complex technical concepts and insights to non-technical stakeholders.
  • Stay current with the latest advancements in data architecture and the broader data and AI landscape.
  • Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.
  • Oversee deployment and monitoring of data solutions in production environments.
  • Ensure that there is continuous improvement for existing data pipelines, data models, reports and infrastructure.
  • Implement best practices for data, model management and version control.

FAQs

What is the main responsibility of the Mid Data Architect?

The main responsibility of the Mid Data Architect is to design, implement, and maintain data architecture solutions that support business goals and ensure data integrity, security, and accessibility.

What qualifications are required for this position?

A Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field is required.

How many years of experience are needed for this role?

The candidate should have 5+ years of experience in data architecture, data engineering, or a related field.

What types of projects will the Mid Data Architect lead?

The Mid Data Architect will lead data projects from conception to deployment, coordinating with cross-functional teams to ensure successful project delivery.

What programming languages should the candidate be proficient in?

The candidate should be proficient in programming languages such as Python, R, or Scala.

Will the Mid Data Architect be involved in mentoring others?

Yes, the Mid Data Architect will mentor and provide guidance to data specialists while fostering a collaborative and innovative team environment.

What technical skills are emphasized for this job?

Key technical skills include expertise in data processing frameworks like Apache Spark and Hadoop, strong SQL skills, proficiency with data modeling tools, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Is experience with big data platforms necessary for this role?

Yes, extensive experience with big data platforms, both cloud and on-premise, is necessary.

What type of data visualization tools should the candidate be familiar with?

The candidate should have advanced knowledge of data visualization tools such as Tableau or Power BI.

Are there opportunities for research and development in this role?

Yes, the Mid Data Architect is expected to stay current with advancements in data architecture and experiment with new tools and techniques to improve data processes and analytics.

Technology
Industry
10,001+
Employees
1989
Founded Year

Mission & Purpose

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities.

Culture & Values

  • Client Value Creation

    Enabling clients to become high-performance businesses and creating long-term relationships by being responsive and relevant and by consistently delivering value.

  • One Global Network

    Leveraging the power of global insight, relationships, collaboration and learning to deliver exceptional service to clients wherever they do business

  • Respect for the Individual

    Valuing diversity and unique contributions, fostering a trusting, open and inclusive environment and treating each person in a manner that reflects Accenture’s values.

  • Best People

    Attracting, developing and retaining the best talent for our business, challenging our people, demonstrating a “can-do” attitude and fostering a collaborative and mutually supportive environment.

  • Integrity

    Being ethically unyielding and honest and inspiring trust by saying what we mean, matching our behaviors to our words and taking responsibility for our actions.

  • Stewardship

    Fulfilling our obligation of building a better, stronger and more durable company for future generations, protecting the Accenture brand, meeting our commitments to stakeholders, acting with an owner mentality, developing our people and helping improve communities and the global environment.

Benefits

  • Medical coverage

    Employees have a choice of national plans (PPO, EPO, HDHP) covering a wide range of medical services and prescription drugs.

  • Parental leave

    16 weeks paid maternity leave for birth parents. 8 weeks paid time off for other parents

  • Flexible work arrangements

    Flexible work arrangements help employees achieve work/life balance while also meeting Accenture’s business needs.

  • Paid time off

    PTO encompasses traditional vacation time along with paid sick leave; days vary based on level and tenure from 17 to 27 per year.

  • Holidays

    We provide 8 paid standard holidays and 2 culture days (for any days you choose), in addition to the PTO program.

  • Life Insurance

    Accenture provides you with a basic level of coverage and you can purchase more coverage for yourself and your family.