data platform architect

TravelNet Solutions Inc

<div><div>Join TravelNet Solutions as a Data Platform Architect! 
 
At TravelNet Solutions (TNS), we combine deep hospitality expertise with forward-thinking technology and a customer-obsessed mindset&hellip; to help property managers win! TNS is proud to be named an Inc.5000 Fastest Growing Company in America. 
 
This role is perfect for someone who is: 
<ul><li>A self-starter with tremendous initiative and a strong work ethic</li><li>An excellent communicator and collaborator across functional teams</li><li>Eager to make a high impact at a product-driven company</li><li>Adaptable, quick to embrace change, and a fast learner</li><li>Skilled in creative and critical thinking</li><li>Detail-oriented, even in a fast-paced environment</li><li>Passionate about technology and innovation</li></ul>
 
About TravelNet Solutions 
For over 21 years, TravelNet Solutions has provided integrated software and marketing solutions for the hospitality industry, anchored by our flagship Track Property Management System and other products under the Track banner. Our single-vendor ecosystem equips growing vacation rental companies with all the enterprise-class tools they need to scale. With ongoing investments in platform development, 70+ integration partners, and a growing list of native features, Track empowers hospitality professionals to achieve digital transformation and operational excellence. 
 
Our Core Values reflect the behaviors that shape the tone of how we work with each other, our partners, and our customers: 
 
<ul><li>Serve Others: Nurturing growth to help others succeed</li><li>Grit: Taking ownership and never giving up on what matters most</li><li>Create the Future: Innovating to disrupt the status quo</li></ul> 
 
Why Join Us? 
<ul><li>Be part of a fast-moving, dynamic team focused on growth and success.</li><li>Work alongside a talented, collaborative, and supportive team.</li><li>Work for a portfolio company offering a one-vendor solution for SaaS technology, marketing, and distribution.</li><li>Help reshape the hospitality industry through technology and service innovation.</li></ul>
 
Perks and Benefits: 
<ul><li>Full medical, dental, and vision coverage</li><li>Flexible Paid Time Off</li><li>Unlimited access to professional training and development</li><li>Health Savings Account with up to a $2,000 annual match</li><li>Up to $900 in Wellness Rewards annually</li><li>Flexible work environment</li><li>Free life insurance and long-term disability coverage</li><li>Flexible Spending Accounts</li><li>Retirement plan with employer match</li><li>Free snacks and soda in the office</li><li>$150 quarterly gift for personal use</li><li>Competitive wages</li><li>Work with an amazing team!</li></ul></div>
<div></div><div>The Data Platform Architect is responsible for defining, implementing, and evolving the end-to-end data architecture that powers our platform analytics, reporting, and data automation ecosystem. 
This role will design a scalable, automated multi-tenant data warehouse and pipeline architecture that integrates hundreds of tenant schemas from our SaaS platform into a centralized, governed, and cost-optimized analytics environment (AWS-based: Redshift, S3, Glue, Lake Formation, QuickSight). 
The ideal candidate combines deep data engineering expertise with architectural systems thinking&mdash;balancing automation, performance, and cost while ensuring accuracy, compliance, and scalability for every customer.</div>
<div> 
Duties and Responsibilities: 
 
Architecture &amp; Design 
<ul><li>Architect a multi-tenant data platform capable of ingesting 500+ tenant schemas with automated onboarding/offboarding workflows</li><li>Design an end-to-end architecture that includes data lakes, warehouses, transformation pipelines, and semantic layers</li><li>Define data zone strategy (Raw Staging Serving), partitioning, and schema evolution patterns</li><li>Establish standards for data contracts, metadata cataloging, and lineage tracking across all tenants</li><li>Drive selection and configuration of core technologies (e.g., Redshift, Glue, S3, Lake Formation, dbt, Lambda, Airflow)</li><li>Collaborate with engineering and DevOps to ensure infrastructure as code (IaC) is applied to all data assets</li></ul>
 
Pipeline &amp; Automation 
<ul><li>Design metadata-driven ingestion and transformation pipelines supporting incremental updates, schema drift, and tenant isolation.</li><li>Ensure pipelines are idempotent, self-healing, and fully integrated into CI/CD processes.</li><li>Partner with the Data Pipeline Engineers to deliver automated data onboarding, testing, and quality validation.</li></ul>
 
Performance &amp; Cost Optimization 
<ul><li>Define workload management, clustering, and distribution strategies in Redshift or equivalent MPP systems.</li><li>Implement data lifecycle management policies to optimize storage and compute costs.</li><li>Continuously evaluate query performance, caching, and concurrency scaling options.</li></ul>
 
Governance &amp; Security 
<ul><li>Implement data governance frameworks to ensure privacy, PII compliance, and secure tenant isolation</li><li>Partner with InfoSec to align encryption (KMS multi-region keys), object lock, and access control policies with SOC/PCI/GDPR standards.</li><li>Establish monitoring, alerting, and anomaly detection systems for data quality and operational stability.</li></ul>
 
Collaboration &amp; Leadership 
<ul><li>Partner closely with Product, Engineering, and Analytics teams to ensure architecture aligns with business and product goals.</li><li>Mentor engineers on modern data platform practices (dbt, ELT, IaC, observability).</li><li>Act as a technical authority and evangelist for data platform best practices within the organization.</li></ul>
 
Required Experience: 
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field; or equivalent professional experience.</li><li>8+ years in data engineering or data architecture, including at least 3 years architecting cloud-native data platforms.</li><li>Proven success building and maintaining large-scale data pipelines using AWS Glue, Lambda, Step Functions, or Airflow.</li><li>Expertise in Redshift, Snowflake, or equivalent MPP databases, including workload management and query optimization.</li><li>Proficiency with S3-based data lakes, Glue Data Catalog, and Lake Formation.</li><li>Deep understanding of data modeling (Kimball/ELT) and multi-tenant system design.</li><li>Experience defining and enforcing data governance frameworks (PII, access control, lineage).</li><li>Proficiency with infrastructure-as-code (Terraform/CloudFormation) and CI/CD for data assets.</li><li>Strong SQL and Python skills; dbt experience preferred.</li><li>Familiarity with embedded BI/analytics tools (QuickSight, GoodData) and semantic layer concepts</li></ul> 
 
Preferred Experience: 
<ul><li>Experience with schema-per-tenant architectures and automated tenant provisioning.</li><li>Familiarity with Auth0 / SSO integration for analytics tools (e.g., QuickSight embedding).</li><li>Experience implementing observability platforms (e.g., Datadog, CloudWatch, Monte Carlo, Soda Core)</li><li>Exposure to data mesh or domain-oriented design principles.</li><li>Prior experience in SaaS product ecosystems or hospitality / property-management data preferred</li></ul>
 
Diversity and Inclusion: 
We celebrate diversity of thought, culture, and background and are committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, or veteran status or any other protected status under applicable federal, state, or local law. We comply with all applicable laws governing nondiscrimination in every location where we operate and encourage individuals from all backgrounds to apply. 
 
Compensation: 
The typical starting salary range for this position is: $130-185k. 
The actual salary offer will consider multiple factors, including skills, experience, education, and location. Please note that the salary reflects the base amount only and does not include total compensation, such as discretionary bonuses and benefits.</div></div>

Data Platform Architect

TechBiz Global GmbH

<div>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
Data Architect to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Role Summary:
The Data Architect will design and govern the complete data ecosystem for the ValueX platform &mdash; including data ingestion, processing, modeling, storage, orchestration, and governance.
They will define the data architecture blueprint supporting the system&rsquo;s core modules.
1. Customer Segmentation
2. Business Decisioning &amp; Offer Assignment Engine
3. Real-Time Offer Orchestration Module (ROOM)
4. ML/AI Model Management &amp; Simulation Engine
The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning &mdash; with a focus on performance, cost optimization, and maintainability.
Key Responsibilities:
Data Architecture &amp; Design<ul><li>
Define the end-to-end data architecture across batch, streaming, and real-time layers.</li><li>
Design Customer 360 and Offer 360 data models, including feature store and historical layers.
</li><li>Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration.
</li><li>Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations.
</li><li>Set up data versioning and lineage frameworks to track data provenance</li></ul>
Data Ingestion &amp; Integration<ul><li>
Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs.
</li><li>Define patterns for real-time event ingestion (recharge, offer purchase, balance check).
</li><li>Standardize data access through APIs or data products for downstream modules.
</li><li>Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io, KNIME).</li></ul>
Data Management &amp; Governance
<ul><li>Define and enforce data quality, lineage, catalog, and access policies.
</li><li>Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen).
</li><li>Set up data validation and DQ frameworks (Great Expectations, Deequ).
</li><li>Govern data partitioning, schema evolution, retention, and archiving strategies.
</li><li>Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies).</li></ul>
Scalability, Cost &amp; Performance
<ul><li>Design for high performance and cost-efficient scalability (25M 50M 75M customers).
</li><li>Optimize compute/storage balance across environments (Dev, UAT, Prod).
</li><li>Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction).
</li><li>Monitor and manage query performance, cluster sizing, and job orchestration costs.</li></ul>
Collaboration &amp; Governance
<ul><li>Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment.
</li><li>Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry).
</li><li>Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx).
</li><li>Provide best practices and design patterns for model deployment, retraining, and data lifecycle management.</li></ul><ul><li>
10+ years in Data Architecture and Data Platform Design</li><li>
Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management.</li><li>
ETL/ELT &amp; Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory.</li><li>
Streaming &amp; Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink</li><li>
Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store</li><li>
Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow)</li><li>
Storage &amp; Compute-Delta Lake, Parquet, Iceberg, Snowflake</li><li>
Data Quality &amp; Governance-Great Expectations, Deequ, DataHub, Collibra</li><li>
Programming &amp; Scripting-Python, SQL, PySpark, YAML</li><li>
API &amp; Integration Design-REST, GraphQL, Kafka Connect, JSON schema</li><li>
Security &amp; Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance
</li></ul>Preferred (Nice-to-Have)<ul><li>
Telecom industry experience (recharge, balance, offer, churn, usage data).
</li><li>Experience integrating with Adobe Experience Platform (AEP) or Pricefx.
</li><li>Knowledge of DecisionRules.io, KNIME, or n8n for workflow orchestration.
</li><li>Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker).
</li><li>Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation.
</li><li>Educational Background Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related fields.
</li><li>Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.</li></ul></div>

Data Architect – Dynamic Pricing & Decision Intelligence Platform

Codvo.ai

<div><div><div>Job Description: Azure Data Platform Lead<div></div> 
Position Overview
Lead the design, implementation, and optimization of enterprise-scale Azure data platform solutions, driving modern data architecture initiatives and establishing best practices for data engineering and analytics.<div></div> 
Key Responsibilities
Platform Architecture &amp; Strategy:<ul><li>Design and implement scalable data platform architectures using Azure services (Synapse, Data Factory, Fabric, SQL Database)</li><li>Establish data lakehouse and data warehouse solutions with medallion architecture patterns</li><li>Define data governance frameworks, security protocols, and compliance standards</li><li>Lead platform evaluations, vendor selections, and technology roadmap planning</li></ul>
Technical Implementation:<ul><li>Architect data ingestion pipelines from diverse sources including databases, APIs, files, and streaming systems</li><li>Design and optimize ETL/ELT processes using SQL, Python, Spark, and Azure native services</li><li>Implement data quality frameworks, monitoring, and alerting systems</li><li>Establish CI/CD pipelines for data workflows and infrastructure as code</li></ul>
Integration &amp; Optimization:<ul><li>Design seamless integrations with BI tools, analytics platforms, and downstream systems</li><li>Optimize performance, cost, and scalability through automated resource management</li><li>Enable advanced analytics and machine learning capabilities on the platform</li><li>Lead data migration projects and platform modernization initiatives</li></ul><div></div> 
Required Qualifications
Technical Expertise:<ul><li>7+ years Azure data platform experience (Data Factory, Synapse Analytics, SQL Database, Storage)</li><li>Expert-level SQL, Python, and experience with Apache Spark (PySpark/Scala)</li><li>Strong understanding of data architecture patterns, data modeling, and distributed systems</li><li>Experience with Azure DevOps, ARM templates, and infrastructure automation</li><li>Knowledge of data governance tools and frameworks (Microsoft Purview preferred)</li></ul>
Platform Experience:<ul><li>Hands-on experience with modern data stack components and cloud-native architectures</li><li>RESTful API integration, real-time streaming, and batch processing systems</li><li>Enterprise data warehouse and analytics platform implementation</li><li>Performance tuning, cost optimization, and capacity planning experience</li></ul><div></div> 
Leadership &amp; Communication:<ul><li>Proven ability to lead technical teams and mentor junior engineers</li><li>Experience presenting technical solutions to stakeholders at all levels</li><li>Strong documentation and knowledge transfer capabilities</li><li>Project management experience with data platform initiatives</li></ul><div></div> 
Preferred Qualifications<ul><li>Microsoft Azure certifications (Data Engineer Associate, Solutions Architect Expert)</li><li>Experience with Microsoft Fabric and Power Platform integration</li><li>Machine learning and AI model deployment experience</li><li>Multi-cloud platform knowledge and cloud migration experience</li><li>Industry-specific data architecture experience (retail, financial services, healthcare)</li></ul> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</div></div></div>

Azure Data Platform Lead(India)

Talent Basket

Title: Snowflake + dbt Data Architect Location: Kochi Experience: 7+ years in data engineering/architecture; 3+ years hands-on with Snowflake &amp; dbtRole summary You&rsquo;ll own the technical design and delivery of a HIPAA-sensitive Snowflake + dbt data platform for a healthcare enterprise. You&rsquo;ll translate business needs into a secure, cost-efficient, maintainable data architecture and lead two developers to implement it.Key responsibilities Lead end-to-end design of the Snowflake data platform: schema design, warehouses, resource monitors, roles, and sharing strategies. Define and enforce dbt architecture &amp; conventions (models, macros, seeds, tests, CI/CD). Design secure ingestion patterns (Snowpipe, staged files, Fivetran/Matillion connectors) and policies for PHI handling (masking, encryption, RBAC). Set up governance: data cataloging strategy, lineage, auditing, and cost monitoring. Define performance &amp; cost optimization plan (clustering keys, partitioning strategy, scaling policies). Create CI/CD pipelines for dbt + Snowflake deployments (Git, GitHub Actions / Azure DevOps / Bitbucket pipelines). Review code, mentor devs, perform design/code reviews, and lead situps with stakeholders (security, compliance, analytics). Produce runbooks, operational docs, and incident procedures.Required skills &amp; experience 7+ years data engineering/architecture experience. 3+ years production experience with Snowflake (warehouses, Snowpipe, Tasks, Streams, Time Travel, cloning). 2+ years building production data transformations with dbt (models, tests, snapshots, macros). Strong SQL mastery; ability to write complex analytic queries and optimize them for Snowflake. Experience with healthcare data standards (HL7/FHIR/claims) and HIPAA compliance controls. Experience with cloud provider where Snowflake runs (AWS/Azure/GCP). Familiar with ETL/ELT tools (Fivetran/Matillion/Airbyte) and orchestration (Airflow, Prefect). Experience implementing RBAC, data masking, and access auditing.Nice to have Experience with data catalog tools (Collibra, Alation) or open source alternatives. Familiarity with dbt Cloud and/or advanced dbt packages. Experience with cost governance tools or usage-based optimization (Snowflake Resource Monitors). Prior role in healthcare or regulated enterprise.Job Types: Full-time, PermanentPay: &#8377;1,300,000.00 - &#8377;1,500,000.00 per yearExperience:<ul><li>snowflake: 6 years (Required)</li><li>Data Build tool: 4 years (Required)</li><li>SQL: 6 years (Required)</li><li>ETL: 6 years (Preferred)</li><li>HIPAA: 5 years (Preferred)</li><li>cloud: 4 years (Required)</li></ul>Work Location: In person

Snowflake + dbt Data Architect

Deloitte

Databricks Data ArchitectReference Code 1846
 
Country: United States
 
US Locations: USA - Hermitage; USA - Nashville; USA - Tampa
 
Non-US Locations: 
Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.
 
Work you'll do
 
Job Summary
 
The Databricks Data Architect is a senior technical leader responsible for building and optimizing a robust data platform in a financial services environment. In this full-time role. you will lead a team of 10+ data engineers and own the end-to-end architecture and implementation of the Databricks Lakehouse platform. You will collaborate closely with application development and analytics teams to design scalable data solutions that drive business insights. This position demands deep expertise in Databricks (Azure). hands-on experience with PySpark and Delta Lake. and strong leadership to ensure best practices in data engineering. performance tuning. and governance.
 
Key Responsibilities
 
Lead. mentor. and manage a team of 10+ data engineers. providing technical guidance. code reviews. and career development to foster a high-performing team.
 
Own the Databricks platform architecture and implementation. ensuring the environment is secure. scalable. and optimized for the organization's data processing needs. Design and oversee the Lakehouse architecture leveraging Delta Lake and Apache Spark.
 
Implement and manage Databricks Unity Catalog for unified data governance. Ensure fine-grained access controls and data lineage tracking are in place to secure sensitive financial data and comply with industry regulations.
 
Provision and administer Databricks clusters (in Azure). including configuring cluster sizes. auto-scaling. and auto-termination settings. Set up and enforce cluster policies to standardize configurations. optimize resource usage. and control costs across different teams and projects.
 
Collaborate with analytics teams to develop and optimize Databricks SQL queries and dashboards. Tune SQL workloads and caching strategies for faster performance and ensure efficient use of the query engine.
 
Lead performance tuning initiatives for Spark jobs and ETL pipelines. Profile data processing code (PySpark/Scala) to identify bottlenecks and refactor for improved throughput and lower latency. Implement best practices for incremental data processing with Delta Lake. and ensure compute cost efficiency (e.g.. by optimizing cluster utilization and job scheduling).
 
Work closely with application developers. data analysts. and data scientists to understand requirements and translate them into robust data pipelines and solutions. Ensure that data architectures support analytics. reporting. and machine learning use cases effectively.
 
Integrate Databricks workflows into the CI/CD pipeline using Azure DevOps and Git. Develop automated deployment processes for notebooks. jobs. and clusters (infrastructure-as-code) to promote consistent releases. Manage source control for Databricks code (using Git integration) and collaborate with DevOps engineers to implement continuous integration and delivery for data projects.
 
Collaborate with security and compliance teams to uphold data governance standards. Implement data masking. encryption. and audit logging as needed. leveraging Unity Catalog and Azure security features to protect sensitive financial data.
 
Stay up-to-date with the latest Databricks features and industry best practices. Proactively recommend and implement improvements (such as new performance optimization techniques or cost-saving configurations) to continuously enhance the platform's reliability and efficiency.
 
The team
 
Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment. we operate not in what is but rather what can be to help Deloitte deliver and connect with its clients. its communities. and one another in ways not previously conceived.
 
Qualifications
 
Required: 
Bachelor's degree in Computer Science. Information Systems. or a related field
 
7+ years of experience in data engineering. data architecture. or related roles. with a track record of designing and deploying data pipelines and platforms at scale.
 
Significant hands-on experience with Databricks (preferably Azure Databricks) and the Apache Spark ecosystem. Proficient in building data pipelines using PySpark/Scala and managing data in Delta Lake format.
 
Strong experience working with cloud data platforms (Azure preferred. or AWS/GCP). Familiarity with Azure data services (such as Azure Data Lake Storage. Azure Blob Storage. etc.) and managing resources in an Azure environment.
 
Advanced SQL skills with the ability to write and optimize complex queries. Solid understanding of data warehousing concepts and performance tuning for SQL engines.
 
Proven ability to optimize ETL jobs and Spark processes for performance and cost efficiency. Experience tuning cluster configurations. parallelism. and caching to improve job runtimes and resource utilization.
 
Demonstrated experience implementing data security and governance measures. Comfortable configuring Unity Catalog or similar data catalog tools to manage schemas. tables. and fine-grained access controls. Able to ensure compliance with data security standards and manage user/group access to data assets.
 
Experience leading and mentoring engineering teams. Excellent project leadership abilities to coordinate multiple projects and priorities. Strong communication skills to effectively collaborate with cross-functional teams and present architectural plans or results to stakeholders.
 
Tools & Technologies
 
Databricks Lakehouse Platform: Databricks Workspace. Apache Spark. Delta Lake. Databricks SQL. MLflow (for model tracking).
 
Data Governance: Databricks Unity Catalog for data cataloging and access control. Azure Active Directory integration for identity management.
 
Programming & Data Processing: PySpark and Python for building data pipelines and Spark Jobs. SQL for querying and analytics.
 
Cloud Services (Azure-focused): Azure Databricks. Azure Data Lake Storage (ADLS Gen2). Azure Blob Storage. Azure Synapse or SQL Database. Azure Key Vault (for secrets).
 
DevOps & CI/CD: Azure DevOps (Azure Pipelines) for build/release pipelines. Git for version control (GitHub or Azure Repos). experience with Terraform or ARM templates for infrastructure-as-code is a plus.
 
Other Tools: Project and workflow management tools (JIRA or Azure Boards). monitoring tools (Azure Log Analytics. Spark UI or Databricks performance monitoring). and collaboration tools for documentation and design (Figma. Visio. Lucidcharts etc.).
 
Preferred
 
Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate. Equivalent certifications in cloud data engineering or architecture (e.g.. Azure Data Engineer. Azure Solutions Architect)
 
Prior experience in the financial services industry or other highly regulated industries. Familiarity with financial data types. privacy regulations. and compliance requirements (e.g. handling PII. PCI data) can be beneficial.
 
Exposure to related big data and streaming tools such as Apache Kafka/Event Hubs. Apache Airflow or Azure Data Factory for orchestration. and BI/analytics tools (e.g.. Power BI) is advantageous.
 
Experience implementing CI/CD pipelines for data projects. Familiarity with Databricks Repos. Jenkins. or other CI tools for automated testing and deployment of data pipelines.
 
Our culture
 
At Deloitte Global people are valued and respected for who they are - with opportunities to bring their unique perspectives, talents and passions to business challenges. Our global workspace creates room for individuality and collaboration. Ours is an inclusive, supportive, connected culture with a focus on development, flexibility, and well-being. This culture makes Deloitte Global one of the most rewarding places to work, and to transform your career.
 
Professional development
 
From entry-level employees to senior leaders, we believe in investing in you, helping you identify and hone your unique strengths at every step of your career. We offer opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
 
Benefits
 
At Deloitte, we value our people and offer employees a broad range of benefits. Our Total Rewards program reflects our continued commitment to lead from the front in everything we do-that's why we take pride in offering a comprehensive variety of programs and resources to support your health and well-being.
 
Recruiting for this role ends on 02/17/2026.

Databricks Data Architect

<div><div><div><div>Job Description: Snowflake Data Platform Lead</div><div></div><div> 
Position Overview</div><div>
Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions, driving cloud-native data architecture initiatives and establishing scalable analytics capabilities.</div><div>
Key Responsibilities</div><div>
Platform Architecture &amp; Strategy:</div><ul><li>Design and implement enterprise-scale Snowflake data platform architectures</li><li>Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities</li><li>Define data governance, security, and access control frameworks</li><li>Lead platform assessments, optimization initiatives, and strategic planning</li></ul><div>
Technical Implementation:</div><ul><li>Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations</li><li>Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala</li><li>Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity</li><li>Establish monitoring, alerting, and cost management best practices</li></ul><div>
Integration &amp; Analytics:</div><ul><li>Design integrations with BI tools, data visualization platforms, and analytics applications</li><li>Enable advanced analytics and machine learning workflows using Snowpark ML</li><li>Implement real-time and batch data processing patterns</li><li>Lead data platform migrations and modernization projects</li></ul><div>
Required Qualifications</div><div>
Technical Expertise:</div><ul><li>7+ years enterprise data platform experience with focus on cloud-native architectures</li><li>4+ years hands-on Snowflake experience (development, administration, optimization)</li><li>Expert-level SQL and experience with Snowpark (Python/Scala)</li><li>Strong understanding of cloud data architecture, security, and governance</li><li>Experience with data integration tools and modern data stack components</li></ul><div>
Platform Experience:</div><ul><li>Multi-source data integration including databases, APIs, files, and streaming data</li><li>Performance optimization, cost management, and warehouse scaling strategies</li><li>Data governance, compliance, and security framework implementation</li><li>Enterprise-scale data migration and platform consolidation projects</li></ul><div>
Leadership &amp; Communication:</div><ul><li>Proven track record leading technical teams and complex data initiatives</li><li>Experience with stakeholder management and cross-functional collaboration</li><li>Strong analytical and problem-solving capabilities</li><li>Documentation and knowledge transfer expertise</li></ul><div>
Preferred Qualifications</div><ul><li>Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer)</li><li>Multi-cloud platform experience (AWS, Azure, GCP)</li><li>dbt (data build tool) and modern data transformation frameworks</li><li>Machine learning and MLOps experience in cloud environments</li><li>Industry-specific data platform experience and domain expertise</li></ul> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</div></div></div>

Snowflake Data Platform Lead(India)

GE HealthCare

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
As the Principal Architect for Subscription Data Fabric, you will lead the design of scalable data platforms that drive insights from subscriptions, enterprise systems, equipment, and customer interactions. Your work will be central to our shift from traditional licensing to a subscription-first model, helping accelerate recurring revenue growth. Collaborating across teams, you&rsquo;ll build intelligent data solutions that empower business users with actionable analytics and enable AI-driven decision-making.<h1 class="jobSectionHeader">
Job Description</h1>
Roles and Responsibilities:
Data Architecture Leadership:<ul><li>
Design and evolve enterprise-grade data architectures to support subscription analytics, customer lifecycle insights, and AI/ML applications.</li><li>
Define and implement data modeling standards, governance frameworks, and integration strategies across cloud and hybrid environments.</li></ul>
Subscription Analytics Enablement:<ul><li>
Architect data pipelines and analytical models to support metrics such as ARR, churn, renewal rates, customer health scores, and usage patterns.</li><li>
Collaborate with product, finance, and commercial teams to align data structures with subscription KPIs and business outcomes.</li></ul>
AI &amp; Advanced Analytics:<ul><li>
Partner with data science teams to operationalize machine learning models for predictive analytics, customer segmentation, and recommendation engines.</li><li>
Ensure scalable deployment of AI solutions across platforms, enabling real-time decision-making and automation.</li></ul>
Platform &amp; Tooling Strategy:<ul><li>
Lead the selection and implementation of modern data platforms (e.g., AWS, Azure, etc) and orchestration tools.</li><li>
Lead continuous improvement and refactoring approach to keep the tech stack optimized for performance and costs.</li><li>
Drive adoption of self-service analytics capabilities for business users through semantic layers and intuitive data access.</li></ul>
Governance &amp; Compliance:<ul><li>
Establish robust data governance practices ensuring data quality, lineage, privacy, and compliance with global standards (e.g., GDPR, HIPAA).</li><li>
Champion metadata management and cataloging to enhance data discoverability and trust.</li></ul>
Mentorship &amp; Collaboration:<ul><li>
Mentor data engineers and architects, fostering a culture of innovation, excellence, and continuous learning.</li><li>
Collaborate with enterprise architects, product owners, and business stakeholders to align data strategy with organizational goals.</li></ul>
Required Qualifications:<ul><li>
Overall 15+ years of experience</li><li>
Minimum 10+ years in data architecture, with a strong background in subscription analytics and AI/ML.</li><li>
Proven ability to design and implement cloud-based data platforms using modern tools and technologies.</li><li>
Solid understanding of subscription business models, SaaS metrics, and customer insights.</li><li>
Hands-on experience with data engineering tools (e.g., Spark), cloud platforms (Azure, AWS, GCP), and data modeling.</li><li>
Familiarity with streaming data architectures and AI/ML deployment practices (MLOps).</li><li>
Strong communication and stakeholder engagement skills.
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.</li><li>
Demonstrated leadership and strategic thinking, with the ability to translate complex technical concepts into business value.</li></ul>
Desired Characteristics:<ul><li>
Proven ability to lead and mentor teams, fostering a collaborative and high-performance culture focused on innovation and excellence.</li><li>
Excellent interpersonal, communication, and presentation skills with the ability to collaborate effectively across diverse teams.</li><li>
Act as a trusted advisor to executive stakeholders, offering insights, recommendations, and solutions to address business challenges and drive competitive advantage.</li><li>
Strong analytical and problem-solving skills using data-based decisions, combined with a passion for improving patient care and clinical research.</li><li>
Experience with Agile methodologies and product management tools.</li></ul>
Inclusion and Diversity
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: act with humility and build trust; lead with transparency; deliver with focus, and drive ownership &ndash; always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you&rsquo;d expect from an organization with global strength and scale, and you&rsquo;ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div></div>

Principal Architect -Subscription Data Fabric

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