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Expertise of Our Data Architects That Drives Results

When you hire data architect from Bacancy Technology, you get to work with a team of certified experts who assess your existing setup, define the target state, evaluate platform choices, and establish the models, integration patterns, and governance approach needed to build an AI ready data architecture.

Data Architecture Consulting and Strategy

Our data architecture consultants assess your existing data environment, business requirements, and AI goals to define the right architecture strategy. We design data models, governance frameworks, technology roadmaps, and architecture blueprints across warehouses, data lakes, and cloud platforms.

Data Modeling, Schema & Semantic Design

We design data models and schemas around your business processes, data relationships, and reporting needs. Our team defines data structures for transactional and analytical systems, including normalized, dimensional, document, and graph models where required. We also define semantic layers that bring business terms, metrics, and data relationships together for consistent reporting and analytics.

Data Warehouse & Data Lake Architecture

We design data warehouse and data lake architectures around your data volumes, workloads, access patterns, and analytics needs. Our data architecture team defines data layers, storage structures, data flows, and processing patterns to support reporting, analytics, and AI workloads while maintaining performance and data control.

Data Pipeline & Streaming Architecture

We design data pipelines and streaming architectures that connect data sources, processing systems, and applications. We define data flows, integration points, batch and real-time patterns, and processing dependencies based on how your systems exchange and consume data, including requirements for AI applications.

Cloud Data Architecture

As a part of our cloud data services, we architect cloud-native data platforms for AWS, Azure, and Google Cloud based on managed technologies such as Glue, Synapse, Dataproc, and Lambda. Our architects create cost-optimized architectures with isolated compute and storage, and auto-scaling clusters to ensure consistent monthly spending on cloud.

Data Governance & Compliance

Our data architects design governance into the overall data architecture, covering data ownership, classification, access controls, lineage, and retention. We align the architecture with compliance requirements to maintain consistent governance across data platforms and systems. For dedicated governance needs, you can also explore our data governance services.

AI & ML Data Architecture

Hire data architects to design the data architecture for AI and ML workloads, covering how structured and unstructured data, vector data, metadata, and training datasets fit into the overall environment. We define the architecture for data access, lineage, and governance to support AI applications, including RAG use cases.

Data Mesh Architecture & Design

Hire data architects to design the data architecture for AI and ML workloads, covering how structured and unstructured data, vector data, metadata, and training datasets fit into the overall environment. Our architects define the architecture for data access, lineage, and governance, while our data engineers handle the pipelines and processing needed to make that architecture work for AI applications and RAG use cases.

Top Data Architect For Hire Ready To Join Your In-House Team

Hire data architects to develop data models, construct data pipelines, and connect complex systems so that your data architecture remains ahead of your business.

Hire Data Architects With the Right Certification for Your Project

Data architecture decisions shape how your systems behave for years, from how data is modeled and secured to how it moves across clouds and regions. At Bacancy Technology, our data engineering services ensure these architectures are designed, built, and optimized for real-world scale and performance.

If you are looking for a top certified data architect for hire, we provide experts with verified certifications and hands-on platform experience, so your architecture is built to scale, stay compliant, and hold up under real production load.

Certifications and compliance every Bacancy Technology data architect brings:

  • AWS Certified Data Engineer Associate and AWS Certified Solutions Architect Professional for teams running data lakes, Redshift, Kinesis, Glue, or analytics workloads on AWS.
  • Azure Solutions Architect Expert and Azure Data Engineer Associate for projects on Synapse, Fabric, Azure Data Factory, or Databricks on Azure.
  • Google Cloud Professional Data Engineer and Professional Cloud Architect for BigQuery, Dataflow, and Pub/Sub-based data platforms.
  • SnowPro Advanced: Architect for warehouse design, secure data sharing, role hierarchies, and cost-optimized Snowflake environments.
  • Databricks Certified Data Engineer Professional for lakehouse setups, Delta Lake, Unity Catalog, and orchestration workflows.
  • TOGAF 9 and TOGAF 10 certified architects for aligning data architecture with business goals and long-term roadmaps.
  • DAMA-CDMP (Certified Data Management Professional) for data governance, MDM, metadata, and data quality management.

Our Recent Success Stories

If you're looking for a senior data architect for hire, proof of delivery matters more than you think. These case studies show how our architects designed data platforms that handle production workloads, hold up under audit, and give business teams the queryable data they need without months of cleanup or rework.

Banking Data Warehouse Migration to Snowflake

Industry: Banking & Finance

Core Technology: Snowflake | dbt | Apache Airflow | AWS S3 | Fivetran | Tableau

A mid-sized commercial bank in the US was relying on an aging Teradata warehouse for daily risk reporting, with lengthy refresh cycles making it difficult to meet regulatory reporting timelines. Our experts redesigned the data model around an event-sourced ledger and migrated key source feeds into Snowflake. The new architecture streamlined data processing and reduced report refresh time significantly, giving the regulatory team faster access to critical risk data.

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Unified Patient Data Lake for Healthcare Analytics

Industry: Healthcare

Core Technology: Azure Data Lake Storage Gen2 | Databricks | Delta Lake | Unity Catalog | FHIR | Power BI

A regional hospital chain in the Middle East had patient data spread across Epic, Cerner, and legacy EMR systems, making it difficult to maintain a unified view for analytics. Our team designed a unified Azure data lake with FHIR-based ingestion and a master patient index to bring records together more consistently. The architecture also included strict access controls, and within 5 months, the network had a unified data environment for secure reporting and clinical analytics.

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Real-Time Customer Data Platform for Retail Personalization

Industry: Retail & eCommerce

Core Technology: Apache Kafka | ClickHouse | dbt | AWS Kinesis | Pinecone | Segment

An apparel brand in Europe with multiple stores and an eCommerce website was relying on daily batch updates for customer segmentation, limiting real-time personalization. Our architects designed a customer data platform that connected online, mobile, and in-store activity, with Pinecone supporting vector search for relevant product recommendations. The architecture used Kafka and Kinesis for event streaming and ClickHouse for low-latency access to customer and product data. The new architecture improved real-time personalization and increased conversions by 19%.

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Connect With Certified Data Architects for Your Project Needs

We'll match you with senior architects who have already solved problems like yours in production.

Our Advanced Tech Stack

Hire data architects who use modern tools and proven methods to design clear, scalable, and reliable data systems that help your business manage and use data more effectively.

Data Modeling & DesignERwinLucidchartdbdiagram.ioSqlDBMPowerDesignerHackolade
Relational DatabasesPostgreSQLMySQLOracleSQL ServerMariaDBAmazon Aurora
NoSQL & NewSQL DatabasesMongoDBCassandraDynamoDBCouchbaseCockroachDBNeo4j
Data WarehousingSnowflakeGoogle BigQueryAmazon RedshiftAzure SynapseDatabricks SQLTeradata
Data Lake & LakehouseDelta LakeApache IcebergApache HudiAWS S3Azure Data Lake StorageGoogle Cloud Storage
ETL / ELT & IntegrationApache AirflowdbtFivetranInformaticaTalendAWS GlueAzure Data Factory
Streaming & Real-TimeApache KafkaApache FlinkApache Spark StreamingAWS KinesisConfluentApache Pulsar
Cloud PlatformsAWSMicrosoft AzureGoogle CloudSnowflake Data CloudDatabricks Lakehouse
Data Governance & CatalogCollibraAlationUnity CatalogApache AtlasAWS Lake FormationMicrosoft Purview
Data Quality & ObservabilityGreat ExpectationsMonte CarloSodaDatafoldAcceldata
BI & VisualizationTableauPower BILookerApache SupersetMetabaseMode
DevOps & InfrastructureDockerKubernetesTerraformGitHub ActionsJenkinsGitLab CI
Languages & Query ToolsSQLPythonScalaJavaPySparkBash
AI & Machine LearningDatabricksAmazon SageMakerAzure Machine LearningGoogle Vertex AIMLflow
RAG & Vector DataPineconeWeaviateMilvuspgvectorOpenSearch
Data Modeling & SchemaERwinLucidchartdbdiagram.ioSqlDBMPowerDesignerHackolade

Our Flexible Engagement Models

We offer flexible engagement models for data architects, customized to your project scope, team size, and business goals.

Dedicated Data Architects icon

Dedicated Data Architects

A senior architect working full-time only on your project, owning the modeling, platform design, and review cycles end-to-end. Best for multi-phase platform rebuilds, warehouse migrations, or new cloud data foundations that need consistent ownership.

  • Project Size: Medium to large enterprise data programs
  • Timeline: 3 to 12 months
Hourly Data Architects icon

Hourly Data Architects

Get expert help for tasks like schema reviews, performance checks, migration planning, or architecture guidance. This model is best for teams that already have developers but need senior support for important technical decisions and direction.

  • Project Size: Targeted reviews, audits, and short design sprints
  • Timeline: Hourly engagement (as needed)
Project-Based icon

Project-Based Data Architecture

Full delivery of a defined scope with a fixed budget and milestone-based billing. Covers discovery, target-state architecture, data models, migration design, and handover documentation. Best when the scope and outcomes are clearly defined upfront.

  • Project Size: Complete architecture deliverables
  • Timeline: 1 to 6 months

Hire Data Architect From Bacancy Technology in 3 Simple Steps

We follow a clear and structured hiring process focused on understanding your requirements first. From the initial discussion to project handover, we ensure smooth collaboration and dependable architecture for your project.

1

Share Your Requirements

Tell us your current data stack, pain points, business goals, and timeline so we can scope the architect profile correctly.

2

Screening and Selection

Get pre-vetted architect profiles within 48 hours. Interview the shortlisted candidates and pick one that matches your goals.

3

Onboard and Get Started

Sign the engagement contract, define the delivery schedule, and your data architect will start within 48 hours.

Why Choose Bacancy Technology To Hire Data Architect?

At Bacancy Technology, you get to work alongside data architects who have first-hand experience in dealing with the issues faced while scaling up data systems, including increasing cloud costs, inefficient pipelines, poor modeling, and migration issues. We build out data platforms for your company that can scale over time while maintaining stability and performance.

Why Choose Bacancy Technology to Hire Data Architect?

Benefits of Hiring Data Architects from Bacancy Technology:

  • Certified Data Architects with 14+ years of experience in Warehousing, Data Modeling, and Cloud Platforms
  • Actual Delivery Experience with Snowflake, BigQuery, Databricks, Redshift, as well as On-Premises to Cloud Migrations
  • Industry Expertise in BFSI, Healthcare, Retail, Manufacturing, Logistics, and SaaS Data Architectures
  • Design for compliance, including HIPAA, GDPR, SOC 2, PCI DSS, CCPA
  • Time-zone overlap with the US, UK, EU, and Australia working hours
  • 15-day risk-free trial with full NDA before any project information is shared
  • Flexible engagement models with the option to scale the team up or down per phase
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Frequently Asked Questions

Still have questions? Let's talk

A data architect creates a design for all of your data architecture, the structure, modeling, and standards that are necessary to put in place. A data engineer will use the architectural design to create the actual code that performs the data ingesting, transforming, and storing. It is a normal procedure to bring on board architects first and then engineers.

The cost depends on the architect's experience, technology expertise, project scope, and engagement type. However, at Bacancy Technology, senior data architects are available starting at $22/hour or $2,880/month for a full-time engagement of 160 hours.

Yes. Our data architecture experts design the ingestion, chunking, embedding, and vector storage layers required for AI and RAG applications and connect them with your existing data environment. They also incorporate access controls, data classification, and lineage to keep AI-ready data governed and traceable.

Depending on your project scope, the deliverables you can expect from a data architecture engagement include data architecture diagrams, conceptual and logical data models, technology recommendations, data flow designs, migration plans, architecture standards, and implementation roadmaps. The exact deliverables are defined based on your project requirements and engagement scope.

Yes. Our architects have shipped production data platforms on all three hyperscalers and across hybrid setups. We start by auditing your current cloud architecture, then design within your existing account structure, IAM model, and cost controls rather than asking you to migrate everything to a new environment.

We provide you with the profiles of matching architects within 48 hours after receiving your requirements. Once you have interviewed and selected an architect, they are expected to start within five to seven days.

Yes. Every engagement includes a 15-day risk-free trial under a signed NDA. You evaluate the architect on real work, like a model review or an initial design draft. If the fit is not right, you can exit without any further commitment or fee.

Yes. Our hourly engagement model is built for exactly this. Common short engagements include a Snowflake or BigQuery migration assessment, a performance audit on an existing warehouse, a governance gap review, or a target-state architecture document. Most of these wrap up within 2 to 6 weeks.

Everything that has been developed as deliverables during the engagement, including architectural diagrams, data models, ERDs, migration plans, runbooks, and coding artifacts, is completely handed over to you upon completion of our engagement. This is stipulated in the master services agreement prior to any engagement taking place.