Harman

Key Responsibilities of the role include:

• Data Engineering Lead
  • Architect with experience in Databricks and Sowflake
  • GCP Data stacks such as Bigquery knowledge preferred
  • Develop and implement data engineering project including enterprise data hub or Big data platform
  •  Ability to define reference data architecture
  • Cloud native data platform experience in AWS or Microsoft stack
  • 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 re-usable 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 cross-functional 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 cloud-based databases such as Azure datalake , Synapse, Azure data factory or 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 high-performing 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, cross-functional teams in a dynamic business environment.
  • Candidates should be confident, energetic self-starters, 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 data engineering lead
• 8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects.
• Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired
• A master’s or bachelor’s 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
• Problem-solving, communication, and collaboration skills.
• Good knowledge of data visualization and reporting tools
• Ability to normalize and standardize data as per Key KPIs and Metrics