Data Architect

Req ID: 281978 

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Description: Data Architect
Summary:
Do you thrive in the nexus of business needs and complex data landscapes? Do you possess
the vision to translate strategic goals into elegant and scalable data architectures? If so, then
step into the role of Data Architect and shape the future of data at Salesforce
We are seeking a Senior Enterprise Architect with a specialized focus on Data to lead our
organization's data architecture strategy, ensuring alignment with business objectives and
technology initiatives. The ideal candidate will be a visionary leader capable of designing,
implementing, and overseeing robust data architecture solutions that drive efficiency, scalability,
and innovation across the enterprise.
What You'll Do:
● Lead the vision and execution of our enterprise data architecture: Define, document, and
maintain a coherent data strategy that aligns with business objectives and technological
advancements.
● Champion data governance and quality: Establish and enforce data standards, policies,
and best practices to ensure data integrity and trust.
● Champion the adoption of cutting-edge data technologies: Evangelize and implement
AI/ML, cloud-based data platforms, and other innovative solutions to optimize data
management and insights.
● Design and integrate data solutions: Work collaboratively with business stakeholders
and technical teams to design, develop, and implement impactful data solutions that
address critical business needs.
● Bridge the gap between business and technology: Translate business requirements into
technical designs and specifications, ensuring alignment and understanding between
teams.
● Foster a culture of data-driven decision making: Promote cross-functional collaboration
and awareness of data's potential to drive strategic decision-making across the
organization.
● Mentor and guide junior architects: Share your expertise and passion for data with junior
team members, nurturing the next generation of data architects.
What you must have to be successful in this role:
● 10+ years of leadership experience in enterprise data architecture and a proven track
record of successfully implementing data-driven solutions.
● Deep understanding of data modeling, data governance, and various data technologies
like cloud platforms, data lakes, and data warehouses.
● Strategic thinker with excellent communication and soft skills, able to bridge the gap
between technical expertise and business needs.
● Passionate about data and its potential to transform businesses, with a desire to
champion a data-driven culture within the organization.
● Excel in complex environments, leading with confidence and navigating challenges with
resourcefulness and problem-solving skills.
● Exceptional technical writing and presentation skills.
● Bachelor's degree in Computer Science, Information Technology, or a related experience
in this field
Join us in shaping our data landscape and driving our organization's success through innovative
data architecture solutions.
Job Description: Sr. Technical Architect - Data Platforms, Integration and Analytics (Grade 9)
Summary:
The Technical Architect of Data plays a pivotal role within our Enterprise Architecture Team. This
position is responsible for designing and implementing comprehensive data architecture
solutions encompassing data platforms, integration, analytics, automation, and more. The
successful candidate will demonstrate expertise in functional and technical domain knowledge
including CRM core products and Data Platforms, Data processing, ETL, Data Integrations,
Data Modeling, Data Strategies, and Data Principles. Strong soft skills, technical writing abilities,
and excellent communication skills are essential for success in this role.
If you are an experienced and hands-on Data Architect with a passion for shaping enterprise
data landscapes and have the skills to drive data excellence, we invite you to apply and join our
dynamic Enterprise Architecture Team. Together, we will architect the future of our data
ecosystem.
Key Responsibilities:
● Data Architecture Design: Develop and maintain the organization's comprehensive data
architecture, aligning it with strategic objectives and the Northstar Architecture.
● Data Integration: Lead efforts to design and implement data integration solutions, ETL
processes, and data pipelines, ensuring seamless data flow across the enterprise.
● Data Modeling: Create and maintain data models, data dictionaries, and data lineage
documentation.
● Data Analytics: Collaborate with analytics teams to design data solutions that support
advanced analytics and reporting.
● Data Governance: Implement data governance frameworks, policies, and standards to
ensure data quality, security, and compliance.
● Data Strategies: Develop and execute data strategies that align with business needs and
industry best practices.
● Stakeholder Management: Build and maintain strong relationships with stakeholders
across the organization, facilitating effective communication and collaboration.
● Technical Writing: Produce high-quality technical documentation, including architecture
blueprints, design documents, and guidelines.
Required Skills:
● Data Architecture: Extensive experience in designing complex data architectures,
including data platforms and integration.
● Business Architecture: Deep understanding of Business Architecture and domain
knowledge of Salesforce Products and other corporate functions such as Finance, HR,
legal, Risk Management, Security, Program Management Office, etc.
● EDW and Data Hubs: Proficiency in Enterprise Data Warehouses (EDW) and data hub
concepts and implementations.
● Salesforce Data Cloud: Excellent knowledge of Salesforce Data Cloud and its integration
within enterprise data ecosystems.
● Data Integration and Processing: Expertise in ETL processes, data integrations, and
data movement technologies (Mulesoft, Airflow, Kafka, IICS, AWS MSK, Spark, dbt,
Iceberg, Trino, etc.).
● Data Modeling: Mastery of data modeling techniques and tools (e.g., ERWin).
● Data Strategies: Proven experience in developing and executing data strategies.
● Data Governance: Experience with data governance principles and best practices.
● Technology Evaluation: Proficiency in translating business use cases through technology
assessments and proof-of-concepts.
● Cloud Technologies: Experience with cloud-based data platforms (e.g., AWS, Azure,
GCP).
● Data Science and AI/ML: Proficiency in data science and machine learning principles
with hands-on experience in Sagemaker, Einstein Analytics, Tableau, Vertex AI, Mulesoft
RPA, and more.
● Northstar Architecture: Familiarity with strategic architecture development.
Minimum Qualifications:
● Bachelor's degree in Computer Science, Information Technology, or a related field
(Master's degree preferred).
● Proven experience as a Data Architect or similar role.
● Strong soft skills, including communication, relationship building, and stakeholder
management.
● Exceptional technical writing and presentation skills.
Job Title: Technical Architect, Data (Grade 8)
Summary:
Are you passionate about shaping data architecture? We're seeking a talented Data Modeler to
join our team and spearhead the design and implementation of data architecture solutions.
Collaborate closely with our Chief Data Officer and business units to align our data strategies
with organizational objectives. Your pivotal role involves driving enterprise data management,
overseeing robust data modeling, and fortifying data governance frameworks. The ideal
candidate will possess a depth of experience in data modeling tools, SQL, and database
systems.
As a Data Modeler, you'll be at the forefront of translating business requirements into actionable
data models. Your efforts will play a vital role in steering our organization's strategic goals,
enhancing data governance practices, and optimizing data management strategies.
Collaboration is key; you'll work across diverse teams to ensure that data serves as a driving
force in informed decision-making, fostering a culture where data is a cornerstone of our
success.
Key Responsibilities:
● Create and maintain reference and solution architecture blueprints, Data models, and
information flow diagrams.
● Implement best practices for data modeling and database design.
● Collaborate with stakeholders to understand data requirements and translate them into effective
data models.
● Ensure data models align with business goals and support efficient data management.
● Optimize and streamline data structures for performance and scalability.
● Work closely with data engineers, architects, and analysts to ensure data model consistency.
● Implement metadata management practices to catalog and track data assets across the
organization.
● Implement and support data governance frameworks, policies, and standards to ensure
data quality, security, and compliance.
● Produce high-quality technical documentation, including architecture blueprints, design
documents, and guidelines.
Required Skills:
● Proven experience as a Data Modeler or in a similar role.
● Proficiency in utilizing data modeling techniques and tools (e.g., ERWin, ER/Studio,
PowerDesigner).
● Strong experience with Conceptual, Logical and Physical data modeling along with
defining, creating and managing the enterprise data subject areas, and enabling
consistency across the company.
● Strong SQL skills and understanding of database management systems.
● Knowledge of industry best practices and standards in data modeling.
● Excellent communication and problem-solving skills.
● Familiarity with big data technologies and NoSQL databases.
● Proven expertise in formulating and implementing robust data governance frameworks,
tools, and processes. This includes data cataloging, data classifications, data quality,
lineage, security, privacy, compliance, and more.
● Proficiency in designing Enterprise Data Warehouses (EDW) and data hub and their
practical implementations. Deep understanding of Canonical Data Modeling techniques
● Salesforce Proficiency: A strong grasp of Salesforce product lines, including CRM, Data
Cloud, Mulesoft, Tableau, and more.
● Cloud Technology Familiarity: Knowledge of cloud-based data platforms (e.g., AWS,
GCP, etc.).
● Excellent communication, interpersonal skills, and understanding of stakeholders
including organizational dynamics.
Nice-to-Have Skills:
● Big Data Exposure: Experience with big data technologies (e.g., Hadoop, Spark).
● Data Analytics Insights: Understanding of data analytics tools and best practices.
● Data Science Awareness: Knowledge of data science concepts, AI, and machine
learning.
● Open Source Technology: A solid understanding of open-source technologies, including
the Apache product suite.
Minimum Education Qualifications: Bachelor's degree in Computer Science, Information
Technology, or related field. Or relevant experience.
Job Description: Data Modeler (8 to 12 years of experience)
Summary:
Do you thrive in the nexus of business needs and complex data landscapes? Do you possess
the vision to translate strategic goals into elegant and scalable data architectures? If so, then
step into the role of Data Modeler and shape the future of data at Salesforce
We are seeking a Data Modeler who will be responsible for designing, implementing, and
documenting data architecture and data modeling solutions, which include the use of
Application sources, relational, dimensional, and NoSQL cloud databases as well as the
Cloud Data Lakes. The ideal candidate will have a strong foundation in Data Modeling
including 3rd Normal forms, dimensional modeling and Data vault 2.0 , data structures, data
manipulation, Data integration, and a clear understanding of data and entity relationships
and data modeling best practices across source to supply.
What You'll Do:
● Collaborate with Solution and data architects, Product and Engineering team
members to understand business requirements and translate them into data models.
● Ensure that the data models align with the enterprise data strategy and frameworks.
● Develop conceptual, logical, and physical data models to support data analysis and
business intelligence.
● Create and maintain a metadata repository to hold data model artifacts.
● Optimize and update logical and physical data models to support new and existing
projects/Application.
● Work with data governance and Management teams to ensure data quality and
compliance with data management standards and practices.
● Develop best practices for standard naming conventions and coding practices to
ensure consistency of data models.
● Perform reverse engineering of physical data models from databases and SQL
scripts.
● Document the data architecture and environment in order to maintain a current and
accurate view of the larger data picture.
● Identify opportunities to reduce data redundancy, streamline data flows, and improve
information management.
● Work closely with the Data Architects and Engineering team to implement data
strategies, build data flows, and develop conceptual data models.
● Support data migration projects, including mapping schemas and defining ETL
processes.
What you must have to be successful in this role:
● 10+ years of Proven experience as a Data Modeler, Data Architect, or Database
Designer.
● 10+ years of Expertise with ERWin data modeling tools and Develop conceptual,
logical, and physical data models
● Perform reverse engineering of physical data models from databases and SQL script
using ERWin
● Experience in integrating the ERWin with Various Data and Application Cataloging
tools like Open Meta, LeanIX etc.
● Strong understanding of database structures, theories, principles, and practices.
● Knowledge of SQL and experience with at least one of the major databases SQL
Server, Oracle, MySQL, PostgreSQL
●Erwin Data Modeling tool , Data Modeling Techniques and Tools (ERStudio , PowerDesigner) , SQL , AWS , Snowflake , Reverse Engineering Data Modeling , CRM Platform
● Experience with data warehousing and business intelligence platforms.
● Excellent analytical and problem-solving skills.
Join us in shaping our data landscape and driving our organization's success through innovative
data architecture solutions.

About NTT DATA Services

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.