Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 21 days ago

Data Architect

Anblicks92 open roles

Where
Dallas
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData ArchitectAnblicks · Dallas

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Anblicks's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 21 days ago

The posting

Data Architect – GCP / BigQuery / Power BI

Experience: 10+ years in data engineering and architecture, including 4+ years designing data platforms on GCP

Key Responsibilities

Discovery and assessment

  • Assess the current client data landscape: the PostgreSQL schemas, volumes and growth; the third-party spreadsheets; the REST API integrations; and the HTML sources.
  • Run workshops with business owners, product, IT, security and report consumers. Capture KPIs, reporting needs, data freshness SLAs and pain points.
  • Document current data flows, dependencies, data ownership and data quality issues.

Target architecture design

  • Design the end-to-end data platform on GCP: ingestion, landing zone (GCS), BigQuery warehouse, transformation, semantic layer and Power BI consumption.
  • Define an ingestion pattern for each source type:PostgreSQL: CDC or incremental loads (for example, Datastream) REST APIs: Cloud Run or Cloud Functions with Pub/Sub or Cloud Scheduler Spreadsheets: GCS or Google Sheets with schema validation HTML files: parsing and extraction pipelines
  • Define the BigQuery layers (Raw → Curated → Marts), naming conventions and how datasets and projects are organized.
  • Design dimensional data models (star schemas and SCD handling) optimized for Power BI.
  • Pick the orchestration and transformation stack (Cloud Composer, Dataform/dbt, Dataflow) and record each choice in Architecture Decision Records.

Scalability, performance and cost

  • Plan capacity for 10–20% monthly growth. That rate takes ~1 TB to roughly 3–9 TB within 12 months.
  • Set standards for partitioning, clustering, materialized views, BI Engine and query optimization.
  • Recommend a BigQuery pricing model (on-demand or Editions/slot reservations), storage lifecycle policies and cost guardrails.

Power BI integration

  • Define the connectivity approach (Import, Direct Query or Composite), gateway needs and refresh strategy, including incremental refresh.
  • Guide semantic model design, row-level security (RLS) and workspace/deployment strategy.

Security, governance and quality

  • Design IAM, VPC Service Controls, CMEK encryption, and column- and row-level security (policy tags).
  • Set up cataloguing, lineage and metadata management (Dataplex), plus PII classification and masking.
  • Define a data quality and observability framework: validation, reconciliation and alerting.

Delivery enablement

  • Produce the architecture blueprint, HLD/LLD, NFRs (SLA, HA, DR, RPO/RTO), a phased roadmap and cost and effort estimates.
  • Define environment strategy (Dev/QA/Prod), CI/CD and Terraform (Infrastructure-as-Code) standards.
  • Hand over to the Tech Lead and act as design authority during implementation.
  • Present architecture options and trade-offs to client leadership.

Technical Skills Required

Must have

  • Expert in BigQuery: modelling, partitioning/clustering, performance tuning, cost and slot management
  • GCP data services: GCS, Dataflow, Datastream, Pub/Sub, Cloud Composer, Cloud Run/Functions
  • Deep PostgreSQL knowledge: CDC/logical replication, migrating TB-scale datasets
  • Data warehousing and dimensional modelling (Kimball), SCD, medallion architecture
  • ELT with Dataform or dbt, plus strong SQL
  • Integrating REST APIs, spreadsheets and semi-structured and HTML data
  • Power BI architecture: semantic models, DirectQuery vs Import, gateways, RLS, performance with BigQuery
  • GCP security and governance: IAM, VPC-SC, KMS, policy tags, Dataplex
  • Terraform and CI/CD

Good to have

  • GCP Professional Cloud Architect or Professional Data Engineer certification
  • Python
  • Data observability tools
  • Streaming analytics experience
  • Telecom domain exposure

Soft skills

  • Stakeholder management and workshop facilitation
  • Can present trade-offs to executives
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Anblicks's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Anblicks's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Anblicks's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.