Data Platform Architect Job at Sandisk (Bangalore)

Data Platform Architect

As a Data Platform Architect, you will design and oversee modern data platforms ...

Location

Belgium , Flanders/Brussels

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7 years of professional experience, preferably in consulting
At least 3 years of experience as a Data Architect
Past experience as a data engineer, with hands-on experience with cloud & database technologies, ETL flows, distributed computing and CI/CD processes
Experience in designing and implementing performant, scalable, reliable, and future-proof data solutions in cloud environments for BI and/or ML/AI use cases
Ability to translate business requirements into effective technical solutions
Experience with assessing and optimizing existing architectures
Experience with building data models and creating data flow diagrams
Knowledge of data integration patterns (APIs, real-time, event-driven, etc.)
Experience in RFP response writing
Experience with on-premises to cloud migrations

Job Responsibility

Design and implement high-quality data solutions that create value for our clients
Collaborate in multi-disciplinary teams (data governance specialists, data strategists, cloud solution architects, etc.) to define data strategy, architect solutions, and develop roadmaps for delivering client data initiatives
Assess existing data architectures, identify pain points and bottlenecks, and propose performance, efficiency, and scalability improvements
Support internal team members and participate in knowledge sharing
Take the technical lead in sales proposals and business development initiatives
Serve as a subject matter expert for client advisory

What we offer

A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Data Platform Architect

We are seeking a hands-on Data Platform Architect to lead the design, implementa...

Location

India , Bangalore

Salary:

Not provided

Sandisk

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in data architecture, engineering, and analytics delivery
Proven success in building modern data platforms on cloud (AWS, Azure, GCP)
Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric)
Proficiency with Python, SQL, Spark, and orchestration frameworks
Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes)
Strong background in Data Modeling (ERD, star/snowflake, canonical models)
Familiarity with REST APIs, GraphQL, and event-driven design
Demonstrated experience integrating AI/ML and GenAI components into data platforms

Job Responsibility

Define and continuously evolve the target data architecture across the stack—governance, engineering, modeling, lakehouse, AI/ML
Translate business and technical goals into scalable and resilient platform designs
Own and maintain architectural roadmaps, standards, and decision frameworks
Act as the bridge between architects, Business SME/Analysts, data engineers, and analytics teams to ensure alignment and compliance with platform standards
Design and implement modern ELT/ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native components (e.g., Fivetran, Databricks, Snowflake, BigQuery)
Build and maintain Lakehouse platforms using Delta Lake, Iceberg, or equivalent technologies
Manage data ingestion from heterogeneous sources including ERP, CRM, IoT, and third-party APIs
Guide hands-on development of robust, reusable, and automated data flows
Implement and enforce data governance frameworks including data lineage, metadata management, and access controls
Partner with Data Stewards and Governance Analysts to catalog data domains, define entities, and ensure SOX compliance

Fulltime

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...

Location

United States , San Francisco

Salary:

253500.00 - 380500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
Hands-on experience with Looker or other BI/semantic modeling tools
Strong understanding of graph-based data models, recommendation systems, and personalization architectures
Expertise in data modeling, metadata management, and semantic layers
Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
Strong foundation in data governance, lineage, cataloging, and compliance frameworks
Excellent communication and leadership skills to align technical direction across diverse teams

Job Responsibility

Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity

Fulltime

New

Solution Architect - Data Platform Modernization

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years designing enterprise data platforms, Lakehouse / medallion architectures, and scalable analytics ecosystems in regulated industries
Deep experience defining Bronze, Silver, and future Gold / ODS patterns using Databricks, ADLS/S3, Delta Lake, DBT, orchestration, and secure consumption layers
Strong capability in canonical data modeling across Policy, Claims, Billing, Customer, and reference/master data domains
Experience with architecture decisions for performance, partitioning, lineage, metadata, resilience, disaster recovery, and environment strategy
Able to align enterprise standards, security controls, DevSecOps, and future extensibility for AI/ML, self-service analytics, and downstream integrations

Job Responsibility

Define the end-to-end migration strategy across
Own the target state architecture across data ingestion, storage, transformation, consumption, security, and observability
Create and maintain high-level and detailed architecture diagrams, migration wave plans, and reference patterns
Align architecture with enterprise standards, security, compliance, and cloud governance
Design the Databricks architecture: workspaces, clusters, jobs, Delta Lake layers (bronze/silver/gold), and integration with Azure services
Define integration patterns with Azure services such as ADLS, ADF/Synapse, Key Vault, Azure DevOps, and monitoring/log analytics
Select and standardize data access methods (e.g., external tables, views, direct connections, APIs) for downstream consumers
Analyze existing schemas, workloads, and query patterns, and define equivalent or improved implementations in Databricks and Snowflake
Define canonical migration patterns for: Table structures (including partitioning, clustering, distribution)
Stored procedures, complex SQL, and business logic

Fulltime

Senior Data Platform Architect

We are seeking a Senior Data Platform Architect to serve as a lead architect and...

Location

United States , McLean

Salary:

Not provided

Clark Construction Company

Expiration Date

Until further notice

Requirements

7–10+ years in data engineering, enterprise integration, or platform architecture
Hands-on experience working in a hybrid environment that leverages Snowflake or Databricks for its powerful cloud data warehousing, AWS Infrastructure, Microsoft Fabric (OneLake) for unified data mesh capabilities, and Talend, Matillion, Mulesoft (or similar ETL/ELT tools) for complex enterprise integration
You are equally comfortable discussing API integration patterns as you are writing complex scripts ( eg - python, lambda functions andSQL)
Deep, hands-on expertise in Data Lakehouse technologies like Snowflake, Databricks and ELT/ETL technologies such as Mulesoft, Talend, Matillion, Informatica Cloud services is essential
You have a proven track record of solving scaled problems and building platforms that support 1,000+ users

Job Responsibility

Technical Leadership: Serve as the senior technical lead for the platform, establishing the standards for how the platform is architected, managed, data is moved, stored, and secured
Foundational Data Modeling: Design the "Unified Core" of our data creating the logic and common connectors that allow data from various sources to be combined into a single, reliable source of truth for enterprise usage
Complex Data Integration: Architect and maintain mission-critical data flows between disparate enterprise systems, and democratize data consumption to enable self-serve analytics
Cross-platform Governance: Implement cross-platform governance and security, ensuring seamless data movement and "Zero-Copy" sharing across data storage and Data Lakehouse - For example - Connectivity between Snowflake Iceberg tables and Microsoft OneLake, integration of SAP Business Data Cloud with Snowflake and Databricks
Platform Modernization: You will develop and maintain long-term roadmaps and drive healthy operating stats for data platforms for security, performance and availability. Advise and execute on continuous innovation that will include feature augmentation and selection of new technologies
Data Governance and Catalog: Establish and scale corporate data catalog, ensuring 100% metadata coverage and establishing clear data stewardship roles to improve enterprise data discoverability and trust
System Stability & Scalability: Lead high-priority infrastructure initiatives and upgrades, such as Snowflake upgrades and performance tuning to ensure a resilient, 24/7 production environment
Collaboration: Partner with business ensure the underlying data architecture perfectly supports advanced visualization and machine learning deployments

Fulltime

Senior Solution Architect - Data Platform & Analytics

The Senior Solution Architect - Data Platform & Analytics will be responsible fo...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience designing and implementing cloud data platforms in large enterprises
Strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks
Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints)
Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake
Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms
Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure
AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns
Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark)
Experience with reporting/semantic layer tools such as Power BI or Tableau
Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka

Job Responsibility

Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization
Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics
Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards
Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality
Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics
Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments
Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights
Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments
Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions
Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement

Fulltime

IT Data Platform Architect

As an IT Data Platform Architect, you will be instrumental in designing and impl...

Location

United States , Charlotte

Salary:

Not provided

Brightspeed

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
8+ years of relevant experience in data platform architecture
Experience with containerization technologies
Demonstrated ability in building and managing data platforms with integrated AI/ML capabilities
Strong knowledge and experience in GCP, with familiarity in other cloud platforms
Have extensive experience in data architecture, especially in supporting AI/ML applications
Demonstrate expertise in infrastructure as code, CI/CD practices, and troubleshooting across various technical domains
Show strong ability in handling streaming data applications
Can effectively communicate technical concepts to diverse audiences
Are a proactive problem-solver with a keen eye for improving system architectures

Job Responsibility

Develop a high-performance data architecture to support large-scale data processing and AI/ML analytics
Lead effort to implement infrastructure as code using tools like Terraform and Ansible to automate the deployment of both infrastructure and applications
Design CI/CD integrations using GitHub, GitHub Actions, Jenkins, ensuring smooth deployment on GCP
Create, update, and maintain comprehensive documentation, including procedural/process guides and infrastructure topology diagrams
Stay updated with technological advancements, advocating for and implementing necessary changes and updates to our systems
Proactively identify improvement areas in infrastructure architecture and develop plans for enhancements
Work with streaming data applications, ensuring robust data flow and integration
Possess knowledge of containerization technologies and orchestration tools to manage and scale applications effectively
Build reusable code, components, and services, focusing on versioning, reconciliation, and robust exception handling
Communicate complex technical concepts effectively to both technical and non-technical stakeholders

What we offer

competitive medical, dental, vision, and life insurance
employee assistance program
401K plan with company match
host of voluntary benefits

Fulltime

Adobe Experience Platform Data Architect

You are an experienced and proactive Data Architect who specializes in customer-...

Location

United States

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

Proficiency and experience with designing customer-centric database models and datasets (e.g., CRM, Call Center, Marketing, Offline, Point of Sale, etc.)
Proficiency with data transformation & ETL tools (e.g., Informatica, Unifi, Snaplogic) on large data sets
Proficiency with Data Modeling experience (e.g., Relational, Dimensional, Columnar, Big Data)
Proficiency with complex SQL and NoSQL experience
Experience in advanced Data Warehouse concepts
Experience with Business Requirements definition and management, structured analysis, process design, and use case documentation
Experience with Reporting Technologies (e.g., Tableau, PowerBI)
Experience in professional software development
Exceptional organizational skills and ability to multi-task simultaneous different customer projects
Strong verbal and written communication skills to coordinate with the Sales team and lead customers to a successful outcome

Job Responsibility

Coordinate closely with the Adobe project team and work directly with customers to document requirements for the Adobe platform solution
Collaborate with Enterprise Architect and Digital Strategist roles to provide data discovery through systems and business process review
Analyze a customer's disparate data sources (e.g., sales, CRM, analytics data) to design and tailor a data model that unifies the data to meet their digital marketing use cases
Configure the Adobe platform data lake and real-time customer profile for data ingestion and activation. Create REST APIs, use POSTMAN, and write ad hoc basic scripting to automate setup across environments
Test your schema design by loading sample data within the platform and coordinating with Data Engineer consultants for final customer data importing
Build, test, and schedule customer segments to activate marketing use cases
Develop tailored, sophisticated SQL to provide answers to customers' business questions using the combined platform data (e.g., a 360-degree view of the customer)
As part of a consulting organization, you'll be responsible for project time tracking, billing hours, and forecasting time toward customer projects and other key reporting
Join a team of Data Architects to learn and innovate together on new insights to improve team processes and solve customer needs

Fulltime

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