Skip to content

General information

Location:
IN_Bangalore_EOIZ Indust Area Campus_HCS
Additional Location:
Bangalore, India
Job Family:
Engineering
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
JOB ID:
R-33725-2024

Description & Requirements

You will be responsible for driving the strategic direction of our Data practice along with other key leaders. This role is responsible for designing, building, and maintaining the data architecture for leading global organisations. The profile will work closely with cross-functional teams to identify data requirements, design data models, and ensure that data is managed efficiently and effectively. The profile will have a deep understanding of data management, database design, and data integration, as well as strong technical skills and experience working with a variety of data platforms and technologies.

Key Responsibilities of the role include:

  • Drive Innovation, Differentiation & Growth
    • Develop and implement a comprehensive Data strategy aligned with our business goals and objectives.
    • Ownership on growth of the COE and influencing client revenues through Data practice
    • Identify and prioritize high-impact opportunities across clients.
    • Lead the selection, deployment, and management of Data tools, platforms, and infrastructure.
    • 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, 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 AWS Redshift and Azure SQL.
    • Knowledge of big data technologies such as Hadoop, Spark, 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?

  • 12+ years of experience in the information technology industry with strong focus on Data engineering, architecture having led, driven and set up an Data practice in IT services or niche organizations
  • 10+ years of relevant experience in successfully launching, planning, and executing advanced data projects.
  • 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 strategies & services, and scale capabilities from a technology, platform, and people standpoint.
  • Experience in working on proposals, presales activities, business development and overlooking delivery of Data projects
  • Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication
  • Problem-solving, communication, and collaboration skills.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, 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.