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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.
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.
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.
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.
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.
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.
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.
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.
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.
Hire data architects to develop data models, construct data pipelines, and connect complex systems so that your data architecture remains ahead of your business.
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:
Every project our data architects have been involved in has been characterized by their domain expertise, which ensures that our data architecture is geared towards the requirements of each specific sector.
Healthcare data architecture requires HIPAA-compliant storage, separation of patient identifiers, and data lineage through EHRs, laboratory information systems, and medical image repositories. Our architects create data solutions that audit successfully and conduct clinical analytics without exposing PHI to other departments or integration partners. Here's how we can help you:
Data platforms for banking require transactional correctness, audit trails, and sub-second response times to queries against years of historical data. Our architects design event-driven systems that process large volumes of ledger feeds, fraud alerts, and regulatory reports while maintaining ACID consistency for critical financial information. Here's how we can help you:
This architecture for retail can handle spikes in traffic, inventory data, and customer behavioral data from various sources like websites, mobile applications, and physical stores. Our team of architects creates uniform data layers to ensure consistency in product catalogs, pricing, and orders across all channels. Here's how we can help you:
Manufacturing data platforms must combine sensor telemetry from the shop floor with ERP, MES, and quality management data into a single analytical layer. Our architects design industrial data lakes that handle high-frequency machine signals alongside slower-moving business records and supplier data. Here's how we can help you:
Logistics data should integrate information from GPS sensors, shipment activities, inventory stored in warehouses, and customer orders. Our design team builds logistics tracking systems that update almost instantaneously and can be accessed by applications used by customers and those that optimize routes. Here's how we can help you:
Telecom data architecture handles billions of CDRs, network performance metrics, and subscriber events daily without dropping records or breaking analytics SLAs. Our architects build data platforms that support churn modeling, network planning, and revenue assurance on the same underlying storage layer. Here's how we can help you:
Insurance data platforms tie together policy records, claims data, actuarial models, and customer interactions over multi-decade horizons. Our architects design data models that preserve the historical state for every policy version while keeping current operational queries fast for underwriters and claims adjusters. Here's how we can help you:
Energy and utility data architectures integrate smart meters, SCADA systems, weather services, and billing systems into solutions that enable grid management and consumer analysis. Our architects design data layers rich in time-series data capable of answering queries at minute and decade scales. Here's how we can help you:
The data architecture for SaaS involves multi-tenant isolation, usage analytics per customer, and product telemetry without allowing one tenant to impact another. Our architects have architected schema, partitioning, and access strategies to scale from hundreds of tenants to tens of thousands. Here's how we can help you:
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.
We'll match you with senior architects who have already solved problems like yours in production.
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 & Design | ERwinLucidchartdbdiagram.ioSqlDBMPowerDesignerHackolade |
| Relational Databases | PostgreSQLMySQLOracleSQL ServerMariaDBAmazon Aurora |
| NoSQL & NewSQL Databases | MongoDBCassandraDynamoDBCouchbaseCockroachDBNeo4j |
| Data Warehousing | SnowflakeGoogle BigQueryAmazon RedshiftAzure SynapseDatabricks SQLTeradata |
| Data Lake & Lakehouse | Delta LakeApache IcebergApache HudiAWS S3Azure Data Lake StorageGoogle Cloud Storage |
| ETL / ELT & Integration | Apache AirflowdbtFivetranInformaticaTalendAWS GlueAzure Data Factory |
| Streaming & Real-Time | Apache KafkaApache FlinkApache Spark StreamingAWS KinesisConfluentApache Pulsar |
| Cloud Platforms | AWSMicrosoft AzureGoogle CloudSnowflake Data CloudDatabricks Lakehouse |
| Data Governance & Catalog | CollibraAlationUnity CatalogApache AtlasAWS Lake FormationMicrosoft Purview |
| Data Quality & Observability | Great ExpectationsMonte CarloSodaDatafoldAcceldata |
| BI & Visualization | TableauPower BILookerApache SupersetMetabaseMode |
| DevOps & Infrastructure | DockerKubernetesTerraformGitHub ActionsJenkinsGitLab CI |
| Languages & Query Tools | SQLPythonScalaJavaPySparkBash |
| Communication Tool | SlackMicrosoft TeamsGoogle Chat |
| Meeting | Microsoft TeamsGoogle MeetZoom |
| PMS | JIRATrelloConfluence |
We offer flexible engagement models for data architects, customized to your project scope, team size, and business goals.
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.
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.
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.
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.
Tell us your current data stack, pain points, business goals, and timeline so we can scope the architect profile correctly.
Get pre-vetted architect profiles within 48 hours. Interview the shortlisted candidates and pick one that matches your goals.
Sign the engagement contract, define the delivery schedule, and your data architect will start within 48 hours.
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.

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.