Staff Engineer - Data Architecture

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, You’Ll Discover That At Harman You Can Grow, Make A Difference And Be Proud Of The Work You Do Every Day.

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About The Role

As a Data Architect in the Enterprise Architecture team, you will shape and govern the data architecture vision for our global automotive organization. Your role is pivotal in ensuring enterprise-wide alignment of data strategies, platforms, and governance to support AI adoption, business process digitization, and advanced analytics. You will define reference architectures, guide implementation teams, and collaborate with business and technology leaders to ensure scalable, secure, and value-driven data solutions.

What You Will Do

• Define and evolve enterprise data architecture strategy across domains including operational data, master data, and IoT data, aligning with enterprise goals, roadmaps, and compliance requirements.
• Architect and standardize scalable, secure data platforms and pipelines for structured and unstructured data, enabling real-time processing, AI/ML integration, and business intelligence.
• Partner with AI/ML engineering and data science teams to design AI-enabling data services (e.g., vector stores, time series/graph DBs, semantic layers) while ensuring enterprise reuse and architectural compliance.
• Establish and promote architectural standards and patterns for data ingestion, transformation, storage, and access (e.g., Matillion, Snowflake, MS Fabric, Delta Lake).
• Lead data architecture governance, ensuring alignment with enterprise principles for data quality, lineage, observability, classification, privacy, and security.
• Collaborate with Information Security, Compliance, and Data Governance teams to embed policies for responsible AI and sensitive data protection into data architecture blueprints.
• Define metadata, cataloging, and data discoverability practices to enable AI agents and business users to consume data responsibly and efficiently.
• Represent Data Architecture in key initiatives (e.g., Industry 4.0, supply chain optimization, AI/agentic automation) and provide architecture oversight to delivery teams.
• Develop and maintain relationships with key technology vendors, thought leaders, and industry groups to incorporate external innovation into internal strategies.
• Mentor and guide data engineers, solution architects, and platform teams on architectural best practices and technical direction.
• Act as a subject matter expert for enterprise data strategy in engagements with executive stakeholders, internal IT, and external partners.

What You Need to Be Successful

• Overall 15 + Years and 8+ years of experience in data architecture, engineering, or analytics with at least 3 years in a senior architect or lead role.
• Proven experience with modern data platforms and tools, such as Snowflake, Delta Lake, MS Fabric, and Matillion.
• Strong experience designing and governing cloud-native data architectures (AWS, Azure, or GCP), including data lake house and streaming/real-time patterns.
• Deep understanding of enterprise integration patterns, data modeling (relational, NoSQL, graph), and metadata management.
• Working knowledge of AI/ML and LLM enablement through data platforms (e.g., vector DBs, LangChain integrations, memory stores) is a strong advantage.
• Demonstrated ability to influence stakeholders, drive architectural alignment, and communicate technical concepts to business and executive audiences.
• Hands-on skills in data engineering tools and programming languages (e.g., Python, SQL) are a plus for architectural prototyping and credibility.
• Familiarity with data governance, cataloging, and MDM tools and practices.
• Strong analytical, communications, leadership, and cross-functional collaboration skills.

Bonus Points if You Have

• Bachelor’s or master’s degree in computer science, information systems, or a related field (advanced certifications or PhD a plus).
• Experience in Azure Data Factory, Matillion, Snowflake, Databricks or other alternative data engineering frameworks.
• Experience with functional/streaming paradigms, reinforcement learning environments, fine-tuning pipelines, or multi-agent systems.
• Familiarity with agent frameworks (e.g., OpenAI Assistants, LangGraph, AutoGPT, CrewAI).
• Data Engineering certification, e.g. DP-600 for MS Fabric.
• Project Management certification, e.g. PMI certification.
• Possess advanced skills in cross-cultural awareness, leadership, influence, communication, problem solving, negotiation, and conflict resolution.
• Knowledge of the automotive and manufacturing industries is a plus.

What Makes You Eligible

• Be willing to travel up to 15%, domestic and international travel
• Be willing to work in Bangalore, India. 

What We Offer

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
• Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• “Be Brilliant” employee recognition and rewards program
• An inclusive and diverse work environment that fosters and encourages professional and personal development

#Li-Ad3

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.