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Expertise of Our Data Architects That Drives Results

From the very first step of designing a strategy and creating models to managing cloud platforms and optimizing performance, we ensure to cover all aspects of your data infrastructure. The goal is to build an architecture that can sustain increasing complexity in your data infrastructure without becoming difficult to manage or costly to operate.

Data Strategy & Roadmap Design

We first evaluate your existing data infrastructure and your business objectives before laying out a roadmap. We provide data architecture consulting to work with you and establish data governance rules, prioritize use cases according to ROI, and formulate a strategic plan that can be followed by your team.

Data Modeling & Schema Design

Our architects design conceptual, logical, and physical data models for transactional and analytical workloads. We use normalized schemas for OLTP systems, star and Snowflake patterns for warehousing, and document or graph models when relational structures slow down your application stack.

Data Warehouse & Data Lake Architecture

Hire data architect from us to build warehouses on Snowflake, BigQuery, and Redshift, as well as data lakes on S3 or ADLS in Iceberg or Delta formats. We ensure that our medallion layer architecture, partitioning approach, and tiered storage are all designed to optimize and control query costs.

Data Pipeline & Integration Design

We assist in creating data pipelines using Apache Airflow, Data Build Tool (dbt), Kafka, and Flink. Hire integration developer to ensure that data flow is always reliable, with accurate mapping between source and target, and set up for proper retry mechanisms.

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

Hire data architect to build governance frameworks related to data classifications, data lineages, data accesses, and retention processes. We use solutions such as Collibra, Alation, and Unity Catalog to meet GDPR, HIPAA, SOC 2, and CCPA standards with an auditable trail that you can check.

Performance Optimization

We audit slow queries, oversized scans, and inefficient query patterns across your data stack. Our architects rewrite execution plans, add proper indexing, restructure partitions, and tune cluster configurations so reporting workloads complete in seconds instead of hours during peak business cycles.

Tech Stack Evaluation & Selection

We evaluate database engines, ETL tools, warehousing platforms, and orchestration tools based on your particular workload profile. Our team helps you analyze your budget for licenses, scalability factors, and expertise before suggesting the right technology stack that won't require an immediate upgrade.

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, 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 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 was running its daily risk reports on an aging Teradata warehouse that took 14 hours to refresh, regularly missing the 7 AM cutoff for the regulatory team. Our architects redesigned the data model around an event-sourced ledger and migrated 47 source feeds into Snowflake. The refresh now completes in 22 minutes, regulatory reports go out by 6 AM daily, and warehouse costs are down 38% year over year.

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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 healthcare network with 9 hospitals had patient data spread across Epic, Cerner, and older EMR systems, making analytics difficult. Our architects built a unified Azure data lake using FHIR-based ingestion and created a master patient index to match records accurately. They also set up strict access controls. In 5 months, all 2.1 million patient records were unified, readmission reports were available across sites, and the HIPAA audit passed with no issues.

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Real-Time Customer Data Platform for Retail Personalization

Industry: Retail & eCommerce

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

An apparel brand with 240 stores and an eCommerce site was using daily batch updates for customer segmentation, which limited personalization. Our architects built a real-time data platform using Kafka for event streaming, ClickHouse for fast data access, and an identity layer to connect online, mobile, and in-store activity. Within four months, conversions rose by 19%, email clicks increased by 34%, and 11 old ETL processes were eliminated.

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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
Communication ToolSlackMicrosoft TeamsGoogle Chat
MeetingMicrosoft TeamsGoogle MeetZoom
PMSJIRATrelloConfluence

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 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 To Hire Data Architect?

At Bacancy, 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 to Hire Data Architect?

Benefits of Hiring Data Architects from Bacancy:

  • Data Architects with 8+ 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, senior data architects are available starting at $22/hour or $2,880/month for a full-time engagement of 160 hours.

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.