Principal Engineer I

HARMANs engineers and designers are creative purposeful and agile. As part of this team youll combine your technical expertise with innovative ideas to help drive cuttingedge solutions in the car enterprise and connected ecosystem. Every day you will push the boundaries of creative design and HARMAN is committed to providing you with the opportunities innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move HARMAN is filled with people who are focused on making life better. Innovation inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together youll discover that at HARMAN you can grow make a difference and be proud of the work you do everyday.

Grade 12 3 Nos Azure Data Architect

Key Responsibilities of the role include:

• Data Engineer
  • Develop and implement data engineering project including data lakehouse or Big data platform
  • Knowledge of Azure Purview is must
  • Knowledge of Azure Data fabric
  • Ability to define reference data architecture
  • Cloud native data platform experience in Microsoft Data stack including Azure data factory Databricks on Azure
  • Knowledge about latest data trends including datafabric and data mesh
  • Robust knowledge of ETL and data transformation and data standardization approaches
  • Key contributor on growth of the COE and influencing client revenues through Data and analytics solutions
  • Lead the selection deployment and management of Data tools platforms and infrastructure.
  • Ability to guide technically a team of data engineers
  • Oversee the design development and deployment of Data solutions
  • Define differentiate & strategize new Data services/offerings and create reference architecture assets
  • Drive partnerships with vendors on collaboration capability building go to market strategies etc.
  • Guide and inspire the organization about the business potential and opportunities around Data
  • Network with domain experts
  • Collaborate with client teams to understand their business challenges and needs.
  • Develop and propose Data solutions tailored to client specific requirements.
  • Influence client revenues through innovative solutions and thought leadership.
  • Lead client engagements from project initiation to deployment.
  • Build and maintain strong relationships with key clients and stakeholders.

• Build reusable Methodologies Pipelines & Models
  • Create data pipelines for more efficient and repeatable data science projects
  • Design and implement data architecture solutions that support business requirements and meet organizational needs
  • Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams
  • Work with crossfunctional teams to ensure that data is integrated transformed and loaded effectively across different platforms and systems
  • Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently
  • Develop and maintain a deep understanding of data platforms technologies and tools and evaluate new technologies and solutions to improve data management processes
  • Ensure compliance with regulatory and industry standards for data management and security.
  • Develop and maintain data models data warehouses data lakes and data marts to support data analysis and reporting.
  • Ensure data quality accuracy and consistency across all data sources.
  • Knowledge of ETL and data integration tools such as Informatica Qlik Talend and Apache NiFi.
  • Experience with data modeling and design tools such as ERwin PowerDesigner or ER/Studio
  • Knowledge of data governance data quality and data security best practices
  • Experience with cloud computing platforms such as AWS Azure or Google Cloud Platform.
  • Familiarity with programming languages such as Python Java or Scala.
  • Experience with data visualization tools such as Tableau Power BI or QlikView.
  • Understanding of analytics and machine learning concepts and tools.
  • Knowledge of project management methodologies and tools to manage and deliver complex data projects.
  • Skilled in using relational database technologies such as MySQL PostgreSQL and Oracle as well as NoSQL databases such as MongoDB and Cassandra. Strong expertise in cloudbased databases such as Azure datalake Synapse Azure data factory and AWS glue AWS Redshift and Azure SQL.
  • Knowledge of big data technologies such as Hadoop Spark snowflake databricks and Kafka to process and analyze large volumes of data.
  • Proficient in data integration techniques to combine data from various sources into a centralized location.
  • Strong data modeling data warehousing and data integration skills.

• People & Interpersonal Skills
  • Build and manage a highperforming team of Data engineers and other specialists.
  • Foster a culture of innovation and collaboration within the Data team and across the organization.
  • Demonstrate the ability to work in diverse crossfunctional teams in a dynamic business environment.
  • Candidates should be confident energetic selfstarters with strong communication skills.
  • Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire.
  • Provide technical guidance and mentorship to the Data team
  • Collaborate with other stakeholders across the company to align the vision and goals
  • Communicate and present the Data capabilities and achievements to clients and partners
  • Stay updated on the latest trends and developments in the Data domain

What is required for the role

• 10 years of experience in the information technology industry with strong focus on Data engineering architecture and preferably as Azure data engineering lead
• 8 years of data engineering or data architecture experience in successfully launching planning and executing advanced data projects.
• Data Governance experience is mandatory
• MS Fabric Certified
• Experience in working on RFP/ proposals presales activities business development and overlooking delivery of Data projects is highly desired
• A masters or bachelors degree in computer science data science information systems operations research statistics applied mathematics economics engineering or physics.
• Candidate should have demonstrated the ability to manage data projects and diverse teams.
• Should have experience in creating data and analytics solutions.
• Experience in building solutions with Data solutions in any one or more domains Industrial Healthcare Retail Communication
• Problemsolving communication and collaboration skills.
• Good knowledge of data visualization and reporting tools
• Ability to normalize and standardize data as per Key KPIs and Metrics

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.