Enterprise Data Architect
4 weeks ago
Job Title: Data Architect-Senior Manager
Qualification: Bachelor’s Degree (15 years of full-time education required).
Location: PAN India
Experience: 16-20 Years
Mandatory Skills: Databricks, Unity Catalog, Delta Live Table, PySpark, Delta Lake, Architect,16+ years overall, 5+ years in Databricks, Databricks certification mandatory
About ARAs Client
ARAs Client is a global leader in technology and consulting services, working at the intersection of strategy, design, and innovation. With a diverse workforce spread across the globe, we help organizations reimagine their business models through data-driven solutions, advanced analytics, and next-generation platforms. We believe in inclusive growth, continuous learning, and empowering our people to deliver impact at scale.
Role Summary
We are seeking a highly experienced Data Architect with expertise in Databricks Unified Data Analytics Platform. The role involves defining data requirements, designing scalable data architectures, and ensuring robust integration across applications. As a Subject Matter Expert, you will advise stakeholders, influence key architectural decisions, and mentor junior team members while shaping enterprise-level data strategies.
Key Responsibilities
- Define data requirements and model application data structures.
- Design data architecture, storage, and integration solutions aligned with business needs.
- Act as Subject Matter Expert for data architecture, providing advisory support across teams.
- Facilitate workshops and gather requirements from stakeholders.
- Provide scalable, compliant, and high-performance data solutions.
- Mentor and guide junior professionals in best practices.
- Collaborate with cross-functional teams on key architectural decisions.
Must-Have Qualifications
- Minimum 15 years of experience in data architecture, with significant expertise in Databricks Unified Data Analytics Platform.
- Strong knowledge of data modeling techniques and best practices.
- Experience with cloud data storage and integration tools.
- Familiarity with data governance, compliance standards, and security protocols.
- Ability to design and implement end-to-end data pipelines.
- Bachelor’s degree (15 years of full-time education required).
Nice-to-Have
- Exposure to emerging big data and AI/ML technologies.
- Experience in enterprise-level data governance frameworks.
- Previous consulting or client-facing advisory experience.
Behavioral Competencies
- Strong influencing and advisory skills.
- Excellent communication and stakeholder engagement.
- Problem-solving mindset with ability to balance business and technical needs.
- Ability to mentor and guide teams effectively.
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