Data Architect

**Experience**: 10 to 15 years
**Location**: Bengaluru, Gurgaon, Pune
**Job code**: 101205
**Posted on**: Apr 25, 2025

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:
The data architect is responsible for designing, creating, and managing an organization’s data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, structured, accessible, secure, and aligned with business objectives.

Key Responsibilities:

- Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps.
- Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures.
- Implement the long-term Data & Analytics strategy and deliver functional objectives.
- Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards.
- Explore Data Sources by working with Application owners to confirm datasets to be extracted.
- Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions.
- Design Data models for Source data products, Master data products & Insight data products.
- Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.
- Support Data Engineering and BI Engineering teams during the build phase.
- Review Data models development, validate and provide deployment approval.
- Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).
- Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
- Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums.
- Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.
- Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers’ needs and develop data products/ data solutions.
- Evaluates and recommends emerging technologies for data management, storage, and analytics.

Role Requirements and Qualifications:

- A bachelor’s degree in computer science, data science, engineering, or related field.
- At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
- Translate business requirements and ability to guide solution design & architecture in developing Data Products.
- Develop scalable, high-performance, and reusable data models that can be efficiently utilized across different data initiatives and help in generating actionable insights.
- Work collaboratively with data stewardship and governance functions to continuously improve data quality and enhance the reliability of data models.
- Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders.
- Strong Business Process and Functional understanding with an Analytical background.
- CPG experience with knowledge in domain specific concepts is a plus.
- Knowledge on Agile methodologies with experience working on tools such as Jira & Confluence.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake).
- Experience with database technologies such as SQL, NoSQL, Snowflake, HANA.
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
- Experience building enterprise data models (Logical, Physical, Conceptual) and data modeling tool experience a plus (ERWIN, ER/STUDIO, etc.)
- Strong Business Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plus.
- Expert-level SQL skills.
- Experience with enterprise sc